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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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青海省黑颈鹤生境适宜性、时空分布模式评估及保护建议
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作者 宁佐梅 《湿地科学》 北大核心 2026年第1期34-46,共13页
青海省是黑颈鹤(Grus nigricollis)的重要度夏和繁殖地之一,但是对黑颈鹤在青海省的时空分布研究缺乏系统性和全面性。运用MaxEnt模型,预测青海省黑颈鹤的适宜生境分布,使用点密度分析法呈现其时间分布变化。研究结果显示,黑颈鹤主要分... 青海省是黑颈鹤(Grus nigricollis)的重要度夏和繁殖地之一,但是对黑颈鹤在青海省的时空分布研究缺乏系统性和全面性。运用MaxEnt模型,预测青海省黑颈鹤的适宜生境分布,使用点密度分析法呈现其时间分布变化。研究结果显示,黑颈鹤主要分布在青海湖周边、祁连山区青海侧、东部黄河上游、三江源区以及柴达木盆地向青海东部的延伸地带,呈沿河湖分布的特点。适宜区总面积为116831 km^(2),其中高度适宜区面积为2626.6 km^(2),分别占青海省总面积的16.7%和0.4%,刚察县、祁连县、海晏县、天峻县、共和县是高度适宜区面积最大的5个县。4—9月为黑颈鹤在青海省的主要居留期。其中7—8月分布最为分散,青海湖周边、祁连山区和玉树是三大分布空间热点。越冬期仍有部分黑颈鹤停留青海省,可能与个体的身体条件、当地的环境条件、气候变化以及种群的迁徙模式有关。海拔、年降水量、距河距离、坡度及土地覆盖对生境适宜性贡献最为突出。建议通过长期动态监测明确各栖息地功能,构建完整迁飞网络并识别关键障碍,优化保护地空间布局和功能定位,制定栖息地分级提升方案,实施迁飞网络连通性强化措施,并对越冬期黑颈鹤滞留点展开长期监测,为黑颈鹤保护提供科学支撑。 展开更多
关键词 黑颈鹤(grus nigricollis) MaxEnt模型 点密度 生境适宜性 保护建议 青海省
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基于TimeGAN与TransBiGRU-AKSM的铁水硅含量预测
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作者 江梓烨 张长胜 +1 位作者 钱斌 胡蓉 《云南大学学报(自然科学版)》 北大核心 2026年第2期252-264,共13页
铁水硅含量是衡量铁水品质和炉况的关键性能指标,但高炉铁水硅含量与过程变量存在复杂的非线性相关性与迟滞性,造成铁水质量调控盲目.为此,提出一种基于TimeGAN与TransBiGRU-AKSM模型的铁水硅含量预测方法.首先,针对带标签数据稀缺问题... 铁水硅含量是衡量铁水品质和炉况的关键性能指标,但高炉铁水硅含量与过程变量存在复杂的非线性相关性与迟滞性,造成铁水质量调控盲目.为此,提出一种基于TimeGAN与TransBiGRU-AKSM模型的铁水硅含量预测方法.首先,针对带标签数据稀缺问题,提出基于时间序列对抗生成网络,在有效扩充数据的同时提升模型的泛化能力.其次,为了高效捕捉时间序列中的长时依赖关系,提升对硅含量变化趋势的捕捉精度,结合Transformer的全局特征提取能力和BiGRU的双向时间序列学习优势.同时,为了增强模型在复杂高炉工况中的适应能力,引入自适应关键特征选择机制,进一步优化了对关键特征的动态选择和加权处理.最后,基于工业现场数据验证了所提方法的有效性和准确性. 展开更多
关键词 高炉炼铁 铁水硅含量 时间序列生成对抗网络 Transformer网络 双向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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核反应堆冷却剂系统故障诊断MPA-TCN-GRU模型
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作者 贾晓龙 戴滔 +2 位作者 隋阳 闫家胜 刘家义 《科学技术与工程》 北大核心 2026年第8期3319-3329,共11页
核反应堆冷却剂系统(reactor coolant system,RCS)是一个庞大且复杂的核电厂系统,它的主要作用是载出核反应堆产生的热量、防止放射性物质外泄。因此,精准的RCS故障诊断对于保障核电厂的安全性至关重要。为针对传统RCS故障诊断模型训练... 核反应堆冷却剂系统(reactor coolant system,RCS)是一个庞大且复杂的核电厂系统,它的主要作用是载出核反应堆产生的热量、防止放射性物质外泄。因此,精准的RCS故障诊断对于保障核电厂的安全性至关重要。为针对传统RCS故障诊断模型训练效率较低、准确性不足的问题,按照如下路线提出了一种RCS故障诊断海洋捕食者算法(marine predator algorithm,MPA)-时间卷积网络(temporal convolutional network,TCN)-门控循环单元(gated recurrent unit,GRU)模型。首先,应用TCN模型,提取RCS样本数据的特征信息;然后,将提取到的特征信息输入到GRU模型,捕捉数据中的时序依赖关系,进而构建TCN-GRU模型;最后,应用MPA寻找TCN-GRU模型的最优超参数,实现对RCS的精准诊断。结果表明:与传统的TCN、GRU及TCN-GRU模型相比,所提模型在较少的训练轮数实现了收敛,同时在诊断准确率上分别提高了2.64%、2.93%和2.01%,验证了所提出的诊断模型的高效性和可靠性。 展开更多
关键词 核反应堆冷却剂系统(RCS) 故障诊断 时间卷积网络(TCN) 门控循环单元(GRU) 海洋捕食者算法(MPA)
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基于混合深度学习的网络流量预测模型研究
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作者 张笑航 翟亚红 +1 位作者 徐龙艳 范志远 《湖北汽车工业学院学报》 2026年第1期12-17,29,共7页
针对现有网络流量预测模型存在输入数据单一、参数优化困难及预测精度低等问题,提出一种融合变分模态分解、Transformer编码器和双向门控循环单元(BiGRU)的混合预测模型,并采用改进麻雀搜索算法优化模型参数。该模型提取流量序列的多尺... 针对现有网络流量预测模型存在输入数据单一、参数优化困难及预测精度低等问题,提出一种融合变分模态分解、Transformer编码器和双向门控循环单元(BiGRU)的混合预测模型,并采用改进麻雀搜索算法优化模型参数。该模型提取流量序列的多尺度频率特征,在Transformer编码器与BiGRU模块间引入双向信息交互机制,通过特征反馈与融合进一步提升预测性能。实验结果表明:与其他方法相比,所提模型的评估指标均降低超过60%;消融实验验证了各模块对提升预测准确度的有效性。 展开更多
关键词 网络流量预测 变分模态分解 Transformer编码器 双向GRU 信息交换机制 改进麻雀搜索算法
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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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基于互信息加权与时序嵌入的坝体裂缝预测模型
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作者 刘斌斌 王铭铭 朱小磊 《江淮水利科技》 2026年第1期11-15,共5页
针对大坝裂缝监测数据中多源异构数据的非线性关联与多尺度时序依赖问题,提出一种基于互信息加权与时序嵌入融合的混合预测模型(M-GEX)。利用互信息量化并加权输入特征,通过滑动窗口提取反映短期动态的多维统计特征,并利用GRU编码器生... 针对大坝裂缝监测数据中多源异构数据的非线性关联与多尺度时序依赖问题,提出一种基于互信息加权与时序嵌入融合的混合预测模型(M-GEX)。利用互信息量化并加权输入特征,通过滑动窗口提取反映短期动态的多维统计特征,并利用GRU编码器生成含长期依赖的低维时序嵌入,将特征拼接后输入XGBoost回归模型进行预测,并以R2和ERMS构建评价体系。在梅山水库3组监测数据预测实验中,R2均超过0.87,ERMS均低于1.84,趋势拟合与峰谷预测精度较高。M-GEX能有效融合短期统计特征与长期时序嵌入,提升预测精度与可解释性,为大坝安全监测与预警提供了高效、可推广的技术支撑。 展开更多
关键词 大坝裂缝 互信息加权 时序嵌入 GRU编码器 结构健康监测
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基于LSTM-GRU神经网络的煤矿区开采沉陷预测
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作者 马吉强 张爱华 +1 位作者 吴仪 杨旭 《陕西煤炭》 2026年第4期1-6,12,共7页
【目的及方法】大面积矿产开发造成了区域环境和资源破坏,岩土体位置和形态改变,从而引发地面沉降、塌陷等地质灾害,严重影响了矿区经济社会发展与生态环境修复,且严重威胁人民群众的生命财产安全。随着人工智能技术的不断发展,人工神... 【目的及方法】大面积矿产开发造成了区域环境和资源破坏,岩土体位置和形态改变,从而引发地面沉降、塌陷等地质灾害,严重影响了矿区经济社会发展与生态环境修复,且严重威胁人民群众的生命财产安全。随着人工智能技术的不断发展,人工神经网络在矿区开采沉陷预测研究领域应用逐渐广泛,故提出基于LSTM(Long Short-Term Memory,长短期记忆网络)与GRU(Gated Recurrent Unit,门控循环单元)神经网络的矿区开采沉陷预测方法。以某矿工作面的监测数据为例,建立LSTM、GRU及其组合(SUM)的时间序列预测模型,以实现矿区开采引起的地表下沉值和水平变形值预测。【结果及结论】LSTM、GRU及SUM预测结果表明,总体上,对于地表下沉值预测,LSTM、SUM优于GRU,LSTM最优,其均方根误差(Root Mean Square Error,RMSE)、平均绝对百分比误差(MAPE,Mean Absolute Percentage Error)分别为14 mm、1.5%;对于地表水平移动值预测,LSTM、SUM优于GRU,LSTM最优,其RMSE、MAPE分别为25 mm、6.9%;对于单次预测,精度的稳定性由高到低分别为SUM、LSTM、GRU,RMSE、MAPE的最大值与最小值均为GRU。 展开更多
关键词 开采沉陷 LSTM神经网络 GRU神经网络 变形预测 深度学习
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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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