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Effects of Group Size on Vigilance Behavior of Wintering Common Cranes Grus grus 被引量:11
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作者 杨洋 陈文华 +3 位作者 江望高 杨士剑 彭贵鸿 黄庭发 《Zoological Research》 CAS CSCD 北大核心 2006年第4期357-362,共6页
From January to March 2005, the effects of group size on the vigilance behavior of wintering Common Cranes Grus grus were studied at Lashihai Lake, Yunnan Province, China. We used scan sampling to record the group siz... From January to March 2005, the effects of group size on the vigilance behavior of wintering Common Cranes Grus grus were studied at Lashihai Lake, Yunnan Province, China. We used scan sampling to record the group sizes and the number of vigilant individuals in each group, and focal sampling to record the frequency and duration of individual vigilance behavior. Both the vigilance efforts of groups and individuals significantly decreased as group size increased, but when the group size exceeded 30 individuals, the decrease of group vigilance became not significant (P 〉 0. 05), and the vigilance duration of adult cranes increased (P 〈 0.01 ). The vigilance frequency of adults increased (P 〈 0.05) when the size exceeded 50 individuals. Presumably, the maximal group size allowing the lowest vigilance for juvenile cranes was larger than that for adults, and the flocks composed of 20 to 30 individuals represented the optimal group size of wintering Common Cranes by considering only the vigilance behavior. Further research should focus on the synthesized effects of various factors. 展开更多
关键词 grus grus Group size Vigilance effort Frequency DURATION
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Genetic structure of wintering Hooded Cranes (Grus monacha) based on mitochondrial DNA D-loop sequences 被引量:3
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作者 张黎黎 周立志 代艳丽 《Chinese Birds》 2012年第2期71-81,共11页
The Hooded Crane (Grus monacha) is a waterbird wintering in the wetlands of the middle and lower reaches of the Yangtze River, China. The gradual habitat loss resulting from wetland degradation may have posed negative... The Hooded Crane (Grus monacha) is a waterbird wintering in the wetlands of the middle and lower reaches of the Yangtze River, China. The gradual habitat loss resulting from wetland degradation may have posed negative effects on the structure of our wintering populations. For its effective protection, it is important to conduct an intensive study on the genetic structure of this population. A total of 221 faecal samples, nine feather samples and four muscle samples of Hooded Cranes from four wintering populations, i.e., from Caizi Lake and Shengjin Lake in Anhui, Poyang Lake in Jiangxi and Chongming Dongtan in Shanghai, were collected for this study. Full-length 1103–1104 bp mtDNA D-loop sequences from 72 samples were amplified using PCR. Based on our amplified D-loop sequences and the sequences of two individual birds obtained from GenBank (AB017625 and AB023813), we analyzed the genetic structure of these four wintering Hooded Crane populations. Twenty six variable sites were found among 72 target sequences in the four wintering populations and 23 haplotypes were defined. Genetic diversity analyses showed that the haplotype diversity of Hooded Cranes was 0.823 ± 0.042 with a nucleotide diversity of 0.00157 ± 0.00021. The FST values of the four populations show that there is no significant genetic differentiation among the populations of Hooded Cranes wintering in the middle and lower reaches of the Yangtze River. Tajima’s D and Fu’s tests suggest that the Hooded Crane populations may have experienced population expansion in their evolutionary history. 展开更多
关键词 grus monacha HAPLOTYPE genetic structure faecal DNA population expansion
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Status and behavior of the Black-necked Crane (Grus nigricollis) in the Altun Mountain Reserve,Xinjiang
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作者 张同 马鸣 +2 位作者 丁鹏 徐峰 Paul J.BUZZARD 《Chinese Birds》 2012年第3期199-205,共7页
The Black-necked Crane (Grus nigricollis) is an endemic species of the Qinghai-Tibetan Plateau,with its population in Xinjiang largely found in the Kunlun and Altun mountain regions.A survey of the distribution,popula... The Black-necked Crane (Grus nigricollis) is an endemic species of the Qinghai-Tibetan Plateau,with its population in Xinjiang largely found in the Kunlun and Altun mountain regions.A survey of the distribution,population dynamics,flock size and behavior was conducted in Altun Mountain National Natural Reserve from September to November 2011.We investigated the size and distribution of its population in this area with a sample spot survey and by direct counting.We found Black-necked Cranes on the wetlands of Wuzunxiaoer,Yusup Aleksei,Yaziquan,Qimantag,Tula Ranch and elsewhere,where we recorded 126 individual birds of the species in Yixiekepati (37° 15′-37°23′N,90°11′-90°20′E,elevation 3903 m),the largest population we have observed in this area.In the reserve,the population consists of about 180-200 birds.Combined with previous records,we conclude that more than 260 Black-necked Cranes live in Xinjiang.Cranes gathered conspicuously in the middle of October where the highest number of birds appeared on 29 October.All of the cranes had migrated out of this area by 6 November.Time budgets and diurnal behavior rhythms of Blacknecked Cranes were observed in the Yixiekepati wetland at daylight (from 06:00 to 18:00).Foraging was the most prevalent type of behavior during the autumn period,accounting for 58.9% of the diurnal time budget,followed by preening (13.2%),vigilance (9.5%),walking (8.2%),flying (3.5%),resting (3.4%),chirping (2.7%) and other types of behavior (0.6%). 展开更多
关键词 Black-necked Crane grus nigricollis distribution population size behavior rhythm XINJIANG
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Effect of water level fluctuations on temporal-spatial patterns of foraging activities by the wintering Hooded Crane(Grus monacha) 被引量:8
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作者 Dongmei Zhang Lizhi Zhou Yunwei Song 《Chinese Birds》 CSCD 2015年第3期169-177,共9页
Background:The Yangtze River floodplain provides important wintering habitats for Hooded Cranes(Grus monacha) in China.Fluctuations in the water level change foraging habitat and food availability,affecting their temp... Background:The Yangtze River floodplain provides important wintering habitats for Hooded Cranes(Grus monacha) in China.Fluctuations in the water level change foraging habitat and food availability,affecting their temporal-spatial patterns of foraging activities.It is of considerable importance to investigate the effect of these fluctuations on food availability for wintering Hooded Cranes and their foraging response to these changes.Understanding their behavior patterns is beneficial in protecting the wintering crane population and restoring their wintering habitats.Methods:A field survey of the winter behavior of cranes was carried out at Shengjin Lake from November in 2013 to April in 2014.Habitat variables,as well as the spatial distribution and behavior patterns of wintering cranes at their foraging sites during five stages of water level fluctuation were collected.Based on this data we analyzed the relationship of foraging behavior relative to water level fluctuations and habitat types.Results:The foraging habitats used by Hooded Cranes varied at the different water level stages.As the water level decreased,the use of meadows and mudflats increased.When the water dropped to its lowest level,the use by the Hooded Crane in the mudflats reached a peak.There were statistically significant differences in time budget in the three types of habitats over the five stages of the water level.In the mudflats,the foraging behavior and maintenance behavior varied significantly with the water level,while the alert behavior showed little variation.Analysis of a generalized linear model showed that the five water level stages and three habitat types had a significant effect on foraging behavior,while the combined effect of these two variables was significant on the foraging time budget and the length of foraging activity of the Hooded Crane.Conclusions:With the decrease in the water level,the use of mudflats by Hooded Cranes increased correspondingly.Food availability in different habitats was affected by changes in the water level.The Hooded Crane adjusted its foraging patterns and made full use of the three available types of habitat in order to acquire enough food in response to fluctuations in the water level. 展开更多
关键词 Water level FLUCTUATIONS FORAGING activity Temporal-spatial pattern Hooded CRANE grus monacha
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Effects of variation in food resources on foraging habitat use by wintering Hooded Cranes(Grus monacha) 被引量:8
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作者 Meng Zheng Lizhi Zhou +1 位作者 Niannian Zhao Wenbin Xu 《Chinese Birds》 CSCD 2015年第3期186-195,共10页
Background:The ideal habitat use of waterbirds can be considered to be fixed,but current habitat use depends on environmental conditions,especially those of food characteristics,considered crucial to their use of habi... Background:The ideal habitat use of waterbirds can be considered to be fixed,but current habitat use depends on environmental conditions,especially those of food characteristics,considered crucial to their use of habitats.Understanding how waterbirds respond to variation in food availability at degraded wetland sites and change their habitat use patterns over spatial and temporal scales should direct future conservation planning.The objectives of this study were to identify these spatial-temporal foraging habitat use patterns of Hooded Cranes(Grus monacha)and their relationship with food characteristics in the severely degraded wetlands of the Shengjin and Caizi lakes along with the Yangtze River floodplain.Methods:We investigated the changes in food characteristics,relative abundance and density of Hooded Cranes in various habitat types across three winter periods from November 2012 to April 2013.We examined the effect of these winter periods and habitat types on the pattern of use by the cranes and explored the relationship between these patterns and food characteristics using linear regression.Results:The food characteristics and habitat use clearly changed over spatial-temporal scales.In the early and mid-winter periods,the most abundant,accessible and frequented food resources were found in paddy fields,while in the late period the more abundant food were available in meadows,which then replaced the paddy fields.There were fewer effects of winter periods,habitat types and their interactions on habitat use patterns except for the effect of habitat types on the relative abundance,determined as a function of food abundance,but independent of food depth and sediment permeability.Conclusions:In response to the degradation and loss of lake wetlands,the cranes shifted their habitat use patterns by making tradeoffs between food abundance and accessibility over spatial-temporal scales that facilitated their survival in the mosaic of these lake wetlands. 展开更多
关键词 Hooded Crane(grus monacha) HABITAT use FOOD characteristics WINTERING ecology FORAGING HABITAT
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Nest site selection of white-naped crane(Grus vipio) at Zhalong National Nature Reserve, Heilongjiang, China 被引量:3
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作者 Qing-ming WU Hong-fei ZOU Jian-zhang MA 《Journal of Forestry Research》 SCIE CAS CSCD 2014年第4期947-952,共6页
White-naped crane (Grus vipio) is a globally threatened spe- cies. It is very important to analyze its nest site selection in circum- stances where there are multiple disturbances, and also helpful to accu- mulate v... White-naped crane (Grus vipio) is a globally threatened spe- cies. It is very important to analyze its nest site selection in circum- stances where there are multiple disturbances, and also helpful to accu- mulate valuable information about this threatened species and supply scientific suggestions for conservation and management. We studied nest site selection and the effects of environmental variables on nesting habits of white-naped crane at Zhalong National Nature Reserve, Qiqihar City, Heilongiiang, China, during March-May of 2002-2008. White-naped crane responded and adapted to changes in the quality of the spatial environments of landscape and microhabitat under multiple environ- mental disturbances. Nest site selection included two scales and two choices, namely the choice of nest site habitat type within the macro-habitat scale and nest site micro-habitat selection within the mi- cro-habitat scale. Nest sites were recorded only in reed marshes. The choice of nest site micro-habitat included three basic elements and six factors, namely incubation element (nest parameters factor, incubation temperature factor and incubation humidity factor), safety element (pro- tection factor and concealment factor), and food element (water factor). Water, remnant reed clusters, and fire were major resource management challenges during the breeding period for the white-naped crane in this Reserve. 展开更多
关键词 factor analysis environmental variable grus vipio nestsite selection pattern Zhalong Nature Reserve
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Monitoring population dynamics of the migratory Red-crowned Crane (Grus japonensis) at Shuangtaihekou National Nature Reserve,northeastern China,from 1991 to 2012 被引量:1
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作者 李玉祥 宋常站 +4 位作者 杨玉成 李晓静 李风丽 黄杰 黄秀艳 《Chinese Birds》 2012年第3期225-229,共5页
We studied migratory Red-crowned cranes from 1991-2012 in order to track population dynamics and trends for these cranes over time at Shuangtaihekou,northeastern China.Our results show that the earliest arrival date o... We studied migratory Red-crowned cranes from 1991-2012 in order to track population dynamics and trends for these cranes over time at Shuangtaihekou,northeastern China.Our results show that the earliest arrival date of the Red-crowned Crane (Grus japonensis) was usually around 1 March in the spring and the latest departure date of the cranes around 8 November.The peak period for the number of cranes observed in the spring was 10-20 March over these 22 years.The staging period in the spring is about 25 days.Comparing the highest number of Red-crowned cranes observed in the spring,the migratory population was around 400 birds in the 1990s,then,increased to over 800 birds in 2000.For a short while,the population maintained itself around 600-800 birds.After that,the population started to decline,until during the most recent years,we observed around 400 birds at peak times of each season.Our results match a similar population change pattern observed in the wintering area for a western population,which has been declining since 2000.There is an urgent need to reinforce protection and management,as well as to maintain and improve the quality of their habitats. 展开更多
关键词 grus japonensis MIGRATION population dynamics Shuangtaihekou STOPOVER
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Long-term monitoring data reveal effects of age,population density,and environmental aspects on hatching success of Common Cranes(Grus grus)
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作者 Isabel Barwisch Wolfgang Mewes Angela Schmitz Ornes 《Avian Research》 SCIE CSCD 2022年第3期347-355,共9页
Facing climate and land use change,a species’ability to successfully adapt to changing environments is crucial for its survival.Extensive drainage and intensification of agriculture and forestry set wetlands and asso... Facing climate and land use change,a species’ability to successfully adapt to changing environments is crucial for its survival.Extensive drainage and intensification of agriculture and forestry set wetlands and associated species at risk of population declines.The population of Common Cranes(Grus grus)has experienced considerable fluctuations over the last century.Despite increasing population numbers,hatching success seemed to have decreased over the last years.The aim of this study was to identify factors influencing hatching success and nest survival of Common Cranes based on analyses of long-term individual-based monitoring data from northeastern Germany and evaluate the species ability to adapt to changing environments.Hatching success decreased over the course of the study period from 0.75 to 0.55.Surprisingly,nest survival and hatching success did not vary across different nesting habitats,whereas factors such as female age,timing of nest initiation and breeding pair density were found to have significant effects on hatching success.Older females showed higher hatching success,even though the proportion of unhatched eggs was highest in females aged 20 years or older.Early nest initiation had a positive effect on hatching success.Water levels are more favorable early in the nesting season,whereas increasing evaporation with time causes water levels to decrease,granting easier access for predators.Independently of female age,hatching success decreased with increasing numbers of breeding pairs within a 2-km radius around a nesting site.High population densities intensify competition for resources and promote intraspecific interactions,affecting reproductive outcome negatively.This study gives first insights into mechanisms behind population regulation in Common Cranes,highlighting the importance of population dynamics and individual features.We suggest to further investigate density dependent effects including landscape and habitat features as well as reproductive success in terms of chick survival,since successfully raising juveniles is crucial for a species survival. 展开更多
关键词 ADAPTATION Age CRANES grus grus HABITAT Nest survival Population density REPRODUCTION
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MICROSTRUCTURE OF FEATHER OF RED CROWNED CRANE (GRUS JAPONENSIS)
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作者 景松岩 杭馥兰 +2 位作者 李悦 刘家琪 王学君 《Journal of Northeast Forestry University》 SCIE CAS CSCD 1995年第2期71-76,共6页
Through scanning electron microscope, various trpes of feathers in various parts of red-crown crane--a kind of rare and precious bird were observed micrographically. It was shown in the result that in different type o... Through scanning electron microscope, various trpes of feathers in various parts of red-crown crane--a kind of rare and precious bird were observed micrographically. It was shown in the result that in different type of feather, the barbules show a great variation in their morphology and structure. This observation can be a basic reference for the taxonomy using the feather structure and the study of systematic relationship. 展开更多
关键词 grus japonensis MICROSTRUCTURE FEATHER
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改进CLOCs的3D目标检测网络
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作者 车俐 徐小勇 蒋留兵 《计算机应用与软件》 北大核心 2026年第1期178-184,240,共8页
随着自动驾驶的发展,多传感器融合得到广泛应用。CLOCs是基于后融合的3D目标检测网络,但它对遮蔽物体的检测性能较差。针对此问题,提出一种融合双目测距和门控循环单元(Gated Recurrent Unit,GRU)的3D目标检测网络,其在CLOCs网络融合3D... 随着自动驾驶的发展,多传感器融合得到广泛应用。CLOCs是基于后融合的3D目标检测网络,但它对遮蔽物体的检测性能较差。针对此问题,提出一种融合双目测距和门控循环单元(Gated Recurrent Unit,GRU)的3D目标检测网络,其在CLOCs网络融合3D和2D的交并比(Intersection over Union,IoU)的基础上,在2D目标检测网络中引入双目测距来关联2D和3D的深度信息,在卷积之后加入GRU网络,用来捕捉时序数据的依赖关系。采用kitti数据集进行验证,实验结果表明检测精度得到了提升。 展开更多
关键词 3D目标检测 双目测距 多传感器融合 CLOCs GRU
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基于数据增强技术的大坝变形GRU预测模型
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作者 任杰 李嫦玲 +1 位作者 李萌 李星 《三峡大学学报(自然科学版)》 北大核心 2026年第1期1-7,共7页
大坝变形预测模型性能依赖于高质量的数据输入,然而不少工程存在监测资料稀疏或缺失问题.选取水压、温度、时效等为变形效应量影响因子,构建大坝变形门控循环单元(gated recurrent unit,GRU)预测模型.针对实测变形效应量样本较少的情况... 大坝变形预测模型性能依赖于高质量的数据输入,然而不少工程存在监测资料稀疏或缺失问题.选取水压、温度、时效等为变形效应量影响因子,构建大坝变形门控循环单元(gated recurrent unit,GRU)预测模型.针对实测变形效应量样本较少的情况,引入SMOTE、GAN、GMM、Diffusion模型4种生成式数据增强算法,扩充样本异质性,增强GRU模型学习信息广度.以某混凝土大坝坝顶径向位移为研究对象,建立基于数据增强技术的大坝变形GRU预测模型.结果表明,原始数据集经GAN、GMM、Diffusion模型增强后,能够提高GRU预测模型精度,可分别将拟合优度由0.925提高至0.940、0.932、0.959.综合分析评价指标,基于Diffusion模型增强的GRU变形预测模型性能最优,可作为大坝变形数据增强处理优选方法.借助可解释机器学习领域中的SHAP(SHapley Additive exPlanations)分析对效应量影响因子进行显著性分析,结果表明:温度因子对大坝变形影响最为显著,上游水位和时效因子亦存在一定影响,下游水位影响偏小. 展开更多
关键词 混凝土坝 变形预测 GRU模型 数据增强 SHAP分析
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基于BERT和GRU的Web攻击检测模型研究
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作者 谭攀 王海珍 成雨玫 《齐齐哈尔大学学报(自然科学版)》 2026年第1期30-37,共8页
目前Web攻击日益频繁和复杂,现有入侵检测系统的检测准确率、实时性需要进一步改进。为此,提出一种基于BERT和GRU的Web攻击检测模型BERT_GRU。通过Web攻击检测脚本Scalp进行攻击类型标注,利用预训练的BERT模型对HTTP请求中的文本数据进... 目前Web攻击日益频繁和复杂,现有入侵检测系统的检测准确率、实时性需要进一步改进。为此,提出一种基于BERT和GRU的Web攻击检测模型BERT_GRU。通过Web攻击检测脚本Scalp进行攻击类型标注,利用预训练的BERT模型对HTTP请求中的文本数据进行上下文语义编码、全连接层处理,将获得的数据与原始文本数据拼接,输入GRU网络提取序列特征,输出通过Softmax计算,最终实现多分类。在CSIC 2010数据集和FWAF数据集上的实验结果表明,BERT_GRU模型在准确率、召回率、F1值等评价指标以及训练时间方面均优于对比模型。 展开更多
关键词 Web攻击检测 BERT模型 GRU
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基于CEEMDAN-SE和串行CNN-GRU的光伏功率组合预测模型
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作者 窦真兰 吴松梅 +2 位作者 郭慧 张春雁 汪飞 《太阳能学报》 北大核心 2026年第2期67-75,共9页
为提高光伏功率的预测精度,提出一种基于完全自适应噪声经验模态分解(CEEMDAN)和串行卷积神经网络及门控神经网络(CNN-GRU)的光伏功率组合预测模型。首先,针对光伏功率波动性对预测结果的影响,采用CEEMDAN将原始光伏功率分解为若干子序... 为提高光伏功率的预测精度,提出一种基于完全自适应噪声经验模态分解(CEEMDAN)和串行卷积神经网络及门控神经网络(CNN-GRU)的光伏功率组合预测模型。首先,针对光伏功率波动性对预测结果的影响,采用CEEMDAN将原始光伏功率分解为若干子序列降低序列的非平稳性,并通过样本熵(SE)计算各子序列的复杂度,将SE值相近的序列,进行重组以减少计算量。其次,为克服单一神经网络在学习光伏功率历史数据特征的局限性,提出串行CNN-GRU混合神经网络以充分挖掘光伏功率的时空特征;将各子序列输入串行CNN-GRU得到预测结果,并将子序列预测结果叠加得到光伏功率预测结果。最后,对两个地区的光伏电站进行实例验证,同时构建LSTM、GRU、CEEMDAN-LSTM、CEEMDAN-GRU和串行CNN-GRU,进行对比验证。结果表明,所提模型能得到良好的预测结果,拥有良好的预测精度和泛化能力。 展开更多
关键词 光伏功率预测 CNN GRU 混合神经网络 CEEMDAN SE
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基于SSA-VMD-GRU组合模型的桥梁监测缺失数据重构方法研究
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作者 周宇 周明扬 +2 位作者 狄生奎 郭家骥 黄继源 《振动与冲击》 北大核心 2026年第3期115-123,共9页
针对桥梁健康监测数据因环境干扰或传感器故障导致的异常或缺失,提出了一种基于麻雀搜索算法(sparrow search algorithm,SSA)共同优化变分模态分解(variational mode decomposition,VMD)和门控循环单元(gated recurrent units,GRU)的桥... 针对桥梁健康监测数据因环境干扰或传感器故障导致的异常或缺失,提出了一种基于麻雀搜索算法(sparrow search algorithm,SSA)共同优化变分模态分解(variational mode decomposition,VMD)和门控循环单元(gated recurrent units,GRU)的桥梁异常监测数据修复方法。研究利用SSA对VMD中分解层数K和惩罚因子α进行寻优以获取准确结构响应,选择SSA对GRU关键超参数进行优化,通过训练使模型达到最佳状态后,将分解后的信号作为输入进行预测修复,以重构桥梁缺失监测数据,通过对比单一GRU模型、VMD-GRU模型预测结果,以均方根误差、平均绝对误差、平均绝对百分比误差和R^(2)作为误差指标来评价所提方法的科学性与实用性。研究表明,所提方法可在非经验指导下获得最佳参数组合,挠度测试集均方根误差为6.070 2%,应变测试集均方根误差仅为0.150 0%,该方法适用于桥梁异常或缺失监测数据的重构,能够提高数据质量和数据使用的正确率,为桥梁健康监测与决策提供方法基础。 展开更多
关键词 桥梁健康监测 异常监测数据 麻雀搜索算法(SSA) 变分模态分解(VMD) 门控循环单元(GRU) 数据重构
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基于CNN-GRU-注意力的锂离子电池SOC估计
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作者 程思涵 刘思懿 +2 位作者 郭子旭 李子涵 吴慕遥 《电池》 北大核心 2026年第1期131-135,共5页
锂离子电池内部电化学反应复杂,外部应用场景随机多变,使得车载锂离子电池SOC估计的准确性低、鲁棒性弱。提出一种基于卷积神经网络(CNN)-门控循环单元(GRU)-注意力机制混合网络的车载锂离子电池SOC估计方法。首先,进行实车数据预处理,... 锂离子电池内部电化学反应复杂,外部应用场景随机多变,使得车载锂离子电池SOC估计的准确性低、鲁棒性弱。提出一种基于卷积神经网络(CNN)-门控循环单元(GRU)-注意力机制混合网络的车载锂离子电池SOC估计方法。首先,进行实车数据预处理,获取可用的放电片段;然后,采用皮尔逊-斯皮尔曼特征双准则分析,选择出3个与SOC具有强相关性的简单特征作为混合网络的输入;最后,构建混合网络,并分别在北方和南方地区的实车运行数据上进行测试。实验结果表明,SOC估计的平均绝对误差与均方根误差均小于1.6%,验证了该方法的可行性与有效性。 展开更多
关键词 锂离子电池 荷电状态(SOC) 卷积神经网络(CNN) 门控循环单元(GRU) 注意力机制 特征双准则 混合网络
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融合主成分分析与深度学习的地下水水位动态预测
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作者 彭胜巍 杨英杰 +3 位作者 朱华浪 张将伟 李东宸 梁修雨 《安全与环境工程》 北大核心 2026年第1期239-248,共10页
为提高地下水水位预测模型的精度与可解释性,提出了一种结合主成分分析(principal component analysis,PCA)法、沙普利加法解释(Shapley additive explanations,SHAP)法和深度学习算法的地下水水位可解释预测模型。首先,收集深汕合作区... 为提高地下水水位预测模型的精度与可解释性,提出了一种结合主成分分析(principal component analysis,PCA)法、沙普利加法解释(Shapley additive explanations,SHAP)法和深度学习算法的地下水水位可解释预测模型。首先,收集深汕合作区的地下水和气象观测数据,并采用PCA对多维数据进行了降维处理。随后,将降维后的主成分作为输入,对长短期记忆(long short-term memory,LSTM)神经网络和门控循环单元(gated recurrent unit,GRU)神经网络2种深度学习模型进行了训练。最后,使用SHAP法对模型结果进行了可解释性分析。结果表明:采用PCA法进行数据预处理可显著提升LSTM和GRU模型对地下水水位的预测精度;SHAP分析显示,研究区山坡及海岸带地下水的主要驱动因素为蒸发,山谷地区地下水的主要驱动因素为降水;SHAP分析得出的因子重要性排序与PCA结果不同,能更真实地反映水文过程机理。研究为构建高精度、强可解释性的地下水水位预测模型提供了新途径,具有良好的推广与应用前景。 展开更多
关键词 地下水水位预测 主成分分析 长短期记忆(LSTM)神经网络 门控循环单元(GRU)神经网络 可解释性分析
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Bearing Fault Diagnosis Based on Multimodal Fusion GRU and Swin-Transformer
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作者 Yingyong Zou Yu Zhang +2 位作者 Long Li Tao Liu Xingkui Zhang 《Computers, Materials & Continua》 2026年第1期1587-1610,共24页
Fault diagnosis of rolling bearings is crucial for ensuring the stable operation of mechanical equipment and production safety in industrial environments.However,due to the nonlinearity and non-stationarity of collect... Fault diagnosis of rolling bearings is crucial for ensuring the stable operation of mechanical equipment and production safety in industrial environments.However,due to the nonlinearity and non-stationarity of collected vibration signals,single-modal methods struggle to capture fault features fully.This paper proposes a rolling bearing fault diagnosis method based on multi-modal information fusion.The method first employs the Hippopotamus Optimization Algorithm(HO)to optimize the number of modes in Variational Mode Decomposition(VMD)to achieve optimal modal decomposition performance.It combines Convolutional Neural Networks(CNN)and Gated Recurrent Units(GRU)to extract temporal features from one-dimensional time-series signals.Meanwhile,the Markovian Transition Field(MTF)is used to transform one-dimensional signals into two-dimensional images for spatial feature mining.Through visualization techniques,the effectiveness of generated images from different parameter combinations is compared to determine the optimal parameter configuration.A multi-modal network(GSTCN)is constructed by integrating Swin-Transformer and the Convolutional Block Attention Module(CBAM),where the attention module is utilized to enhance fault features.Finally,the fault features extracted from different modalities are deeply fused and fed into a fully connected layer to complete fault classification.Experimental results show that the GSTCN model achieves an average diagnostic accuracy of 99.5%across three datasets,significantly outperforming existing comparison methods.This demonstrates that the proposed model has high diagnostic precision and good generalization ability,providing an efficient and reliable solution for rolling bearing fault diagnosis. 展开更多
关键词 MULTI-MODAL GRU swin-transformer CBAM CNN feature fusion
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基于迁移学习的无线加密链路自适应优化
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作者 刘航 金云智 +2 位作者 韩玉林 郭龙 陈宏生 《中国宽带》 2026年第1期28-32,共5页
为了保护深海平台与陆地之间数据传输的机密性、完整性和业务连续性,启用了国家密码管理局密码算法加密的无线链路通信,需要针对可变密文载荷进行动态优化。本文针对深海通信中无线加密链路在复杂海洋环境下存在的传输不稳定、高误码率... 为了保护深海平台与陆地之间数据传输的机密性、完整性和业务连续性,启用了国家密码管理局密码算法加密的无线链路通信,需要针对可变密文载荷进行动态优化。本文针对深海通信中无线加密链路在复杂海洋环境下存在的传输不稳定、高误码率及网络拥塞等问题,提出一种基于迁移学习的无线加密链路自适应优化方法。从陆地无线网络管理协议数据中训练出基于门控循环单元模型,通过最大均值差异算法衡量源领域与目标领域数据的相关性,判别是否应用迁移学习。所提模型较多层感知机和长短期记忆网络的预测平均绝对百分比误差更小,取得了更好的网络优化效果,为深海加密链路的自适应控制提供了可行路径。 展开更多
关键词 链路加密 深海通信 GRU模型 迁移学习 NMS
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物联网赋能的智慧交通路口信号优化系统
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作者 苏丽 《无线互联科技》 2026年第3期102-106,111,共6页
随着城市化进程的不断推进和机动车保有量的持续攀升,传统交通信号控制系统日益暴露出其固有局限性。文章针对传统交通路口信号控制“固定配时、无法动态适配车流量变化”导致的拥堵、延误等问题,设计了一套物联网赋能的智慧交通路口信... 随着城市化进程的不断推进和机动车保有量的持续攀升,传统交通信号控制系统日益暴露出其固有局限性。文章针对传统交通路口信号控制“固定配时、无法动态适配车流量变化”导致的拥堵、延误等问题,设计了一套物联网赋能的智慧交通路口信号优化系统。该系统通过毫米波雷达与视频摄像头组成的感知层采集实时车流量数据,经边缘计算节点预处理后,构建了一个基于门控循环单元结构(Gated Recurrent Unit,GRU)的交通信号优化原型。该系统利用GRU神经网络对未来时刻车道车流量进行预测,生成优化的绿灯分配方案,将路口平均延误时间降低8%,有效缓解了交通拥堵,为智慧交通信号的智能化、自适应控制提供可落地的技术方案。 展开更多
关键词 物联网 智慧交通 GRU模型 神经网络 自适应
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基于Transformer-GRU的超短期风电功率预测
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作者 黄怀威 查少翀 童占北 《电工技术》 2026年第2期109-111,115,共4页
为充分挖掘风电数据的内在联系,提升超短期风电功率预测的精度,提出一种基于Transformer-GRU的预测模型。该模型首先通过Transformer的编码器计算输入数据的注意力权重,然后使用门控循环单元(Gate Recurrent Unit,GRU)和全连接层取代Tra... 为充分挖掘风电数据的内在联系,提升超短期风电功率预测的精度,提出一种基于Transformer-GRU的预测模型。该模型首先通过Transformer的编码器计算输入数据的注意力权重,然后使用门控循环单元(Gate Recurrent Unit,GRU)和全连接层取代Transformer的解码器进行分析,从而实现风电功率的预测。仿真结果表明,模型的预测精度达到了99.92%,通过与其他模型对比验证了模型的合理性。 展开更多
关键词 超短期风电功率预测 TRANSFORMER 注意力机制 GRU
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