期刊文献+
共找到502,030篇文章
< 1 2 250 >
每页显示 20 50 100
基于NSGA-Ⅱ算法及RBF代理模型的两级液环压缩机叶片型线耦合优化分析
1
作者 张人会 俞帅年 +2 位作者 郑直 郭广强 陈学炳 《西华大学学报(自然科学版)》 2026年第2期9-17,共9页
针对多级液环压缩机效率低、级间叶片差异性设计理论不成熟的问题,以液环压缩机两级叶轮叶片包角、进口角、出口角为叶片型线控制参数,由4阶Bezier曲线对叶片型线进行参数化控制,采用拉丁超立方抽样(LHS)构建代理模型初始样本空间,以液... 针对多级液环压缩机效率低、级间叶片差异性设计理论不成熟的问题,以液环压缩机两级叶轮叶片包角、进口角、出口角为叶片型线控制参数,由4阶Bezier曲线对叶片型线进行参数化控制,采用拉丁超立方抽样(LHS)构建代理模型初始样本空间,以液环压缩机吸气量和效率作为优化目标,基于径向基函数(RBF)代理模型与NSGA-Ⅱ算法对叶轮叶片型线进行多目标优化分析。结果可知:液环压缩机两级叶轮耦合多目标优化得到的效率最优模型比原始模型的效率提高了5.859%,吸气量最优模型比原始模型的吸气量提高了0.0107 m3/s;优化后高效率模型两级叶轮叶片型线特征一致,呈小包角、大进口角、大出口角;吸气量最优模型的一级与二级叶片型线特征有差异,二级叶片的包角大于一级;优化后吸气量最优模型和效率最优模型较原始模型的吸气能力均有较大提升,叶片尾缘涡量减小;减小两级叶轮压缩比的差值有利于提升液环压缩机的性能。 展开更多
关键词 两级液环压缩机 叶片型线 压缩比 rbf代理模型 多目标优化
在线阅读 下载PDF
基于新型趋近律和RBF网络的并联机械臂自适应滑模控制研究
2
作者 罗云 张大斌 曹阳 《现代制造工程》 北大核心 2026年第2期35-41,共7页
针对并联机械臂动力学不确定性和负载波动对控制性能存在影响的问题,将动力学模型中的时变项和变动的负载视为总扰动,提出了一种滑模控制方法。为了提升滑模控制算法性能,提出了一种由快速趋近项和慢速趋近项组成的新型趋近律,并讨论了... 针对并联机械臂动力学不确定性和负载波动对控制性能存在影响的问题,将动力学模型中的时变项和变动的负载视为总扰动,提出了一种滑模控制方法。为了提升滑模控制算法性能,提出了一种由快速趋近项和慢速趋近项组成的新型趋近律,并讨论了新型趋近律的可达性条件和收敛时间;利用径向基函数(Radial Basis Function,RBF)网络来估计总扰动项,为了更准确地估计系统的总扰动和抑制控制器参数摄动,为RBF网络和控制器的参数设计了自适应律。基于所提出的新型趋近律和RBF网络获取的扰动值,设计了滑模控制器,并证明了控制器的稳定性,最终提出了基于新型趋近律和RBF网络的自适应滑模控制方法。仿真结果表明,所提出的控制方法具有较强的抗干扰性能和较快的响应速度,比传统趋近律控制器缩短了1/3的收敛时间,且大幅减小了控制器抖振。 展开更多
关键词 并联机械臂 滑模控制 新型趋近律 rbf网络
在线阅读 下载PDF
基于IWOA-RBF神经网络预测的拖拉机线控液压转向系统传递函数参数辨识
3
作者 吕华伟 邓晓亭 +2 位作者 黄薛凯 孙晓旭 鲁植雄 《南京农业大学学报》 北大核心 2026年第1期197-213,共17页
[目的]拖拉机线控液压转向系统具有强非线性、时变等特性,为分析该系统运动学特性,需要建立线控液压转向系统动态模型。本文针对该问题,搭建了线控液压转向试验台架,提出利用系统参数辨识的方法作为线控液压转向系统建模方法。[方法]使... [目的]拖拉机线控液压转向系统具有强非线性、时变等特性,为分析该系统运动学特性,需要建立线控液压转向系统动态模型。本文针对该问题,搭建了线控液压转向试验台架,提出利用系统参数辨识的方法作为线控液压转向系统建模方法。[方法]使用鲸鱼优化算法(WOA)对线控液压转向系统的试验数据进行参数辨识,从而获得系统传递函数参数。为补全线控液压转向系统适用工况,采用RBF神经网络预测法对辨识得到的传递函数进行工况预测,得到线控液压转向系统动态传递函数。[结果]对辨识结果进行了试验对比验证,通过改进的鲸鱼优化算法优化得到的线控液压转向系统传递函数,在右转时与试验数据的均方根误差平均值为0.001334,在左转时与试验数据的均方根误差平均值为0.013440,通过RBF神经网络预测得到的线控液压转向系统全工况动态传递函数与试验数据的均方根误差在0.1左右。[结论]本文提出的动态模型可以精确描述线控液压转向模型的运动学特性,建模方法可行,对提高线控液压转向系统控制稳定性有重要的指导意义。 展开更多
关键词 拖拉机 线控液压转向 鲸鱼优化算法(WOA) 参数辨识 rbf神经网络 工况预测
在线阅读 下载PDF
基于RBF神经网络的单相三电平APF终端滑模控制
4
作者 杨瑞康 葛高飞 +2 位作者 张作轩 赵军波 马辉 《控制理论与应用》 北大核心 2026年第1期61-68,共8页
传统电流电压双闭环策略中,滑模控制器对于系统模型参数具有较强的依赖性,导致有源电力滤波器的电流内环控制器存在鲁棒性下降、动态响应迟缓等问题.为此,本文提出一种基于径向基函数(RBF)神经网络的双闭环滑模控制策略,以提高补偿电流... 传统电流电压双闭环策略中,滑模控制器对于系统模型参数具有较强的依赖性,导致有源电力滤波器的电流内环控制器存在鲁棒性下降、动态响应迟缓等问题.为此,本文提出一种基于径向基函数(RBF)神经网络的双闭环滑模控制策略,以提高补偿电流动态响应速度和鲁棒性.该控制策略内环采用RBF神经网络全局快速终端滑模控制器;外环采用线性滑模控制器. RBF神经网络通过在线逼近未知项以降低对模型的依赖性,全局快速终端滑模控制器用于提高系统收敛性.实验结果表明,所提控制策略能够使单相三电平有源电力滤波器在稳态和动态工况下,均展现出更优越的电流跟踪性能与更强的鲁棒性. 展开更多
关键词 有源电力滤波器 滑模控制 rbf神经网络 三电平变换器
在线阅读 下载PDF
基于RBF神经网络的二阶不确定系统自适应滑模控制
5
作者 马强 张杨 杨珂 《现代防御技术》 北大核心 2026年第1期156-164,共9页
针对二阶不确定系统,特别是模型未知且伴随动力学扰动的复杂情况,以提升控制效能为目标展开研究。以板球系统为实验对象,提出了一种新颖的控制策略。采用RBF神经网络(RBF1)预测系统关键参数,并通过自适应算法动态调整其内部参数以确保... 针对二阶不确定系统,特别是模型未知且伴随动力学扰动的复杂情况,以提升控制效能为目标展开研究。以板球系统为实验对象,提出了一种新颖的控制策略。采用RBF神经网络(RBF1)预测系统关键参数,并通过自适应算法动态调整其内部参数以确保预测精度;基于预测模型设计了一种基于积分滑模面的滑模控制器,利用积分滑模面的特性使系统状态直接进入滑动模态,提高了系统的鲁棒性和响应速度。为进一步优化控制性能,创新性地引入第2个RBF神经网络(RBF2)来动态调整滑模控制器参数,通过梯度下降法实现参数的整定,增强了控制策略的灵活性和适应性。仿真实验表明,该控制策略在板球系统轨迹跟踪中表现优异,能够有效应对系统不确定性和扰动,展现了良好的控制性能和实际应用前景。 展开更多
关键词 二阶系统 滑模控制 rbf神经网络 梯度下降法 板球控制系统
在线阅读 下载PDF
基于RBF声速剖面构建模型的UUV电子轨迹增强方法
6
作者 蔡鑫源 王浩 徐琛 《舰船科学技术》 北大核心 2026年第2期122-129,共8页
水下无人潜航器(Unmannd Underwater Vehicle,UUV)作为水下无人系统的关键装备,在海洋资源开发中发挥着重要作用。受到水下低通量弱通信复杂环境影响,UUV数据采集常态化缺失现象严重,特别是浅海环境中传统UUV跟踪模型未充分结合声损失... 水下无人潜航器(Unmannd Underwater Vehicle,UUV)作为水下无人系统的关键装备,在海洋资源开发中发挥着重要作用。受到水下低通量弱通信复杂环境影响,UUV数据采集常态化缺失现象严重,特别是浅海环境中传统UUV跟踪模型未充分结合声损失特性导致UUV航行轨迹连续性差,严重制约后续UUV态势感知功能的准确性。本文提出一种融合径向基函数(Radial Basis Function,RBF)神经网络与水下射线传播理论的水下声速反演驱动UUV轨迹优化模型。首先利用RBF神经网络逼近能力,构建声传播时间(Time of Flight,ToF)与声速剖面(Sound Speed Profile, SSP)特征的时序变化关系,精准刻画水下声速场的动态特性。然后设计时序融合聚类最小残差定位算法通过梯度索引对历史数据精准分类,并将每类不同特性的轨迹数据进行粒子群连续化处理精准补全UUV电子轨迹密度。实验表明,与传统RBF模型结合最小残差定位算法相比,本文创新提出融合声速剖面UUV跟踪模型在其轨迹优化方面精确度有效提高5.41%,验证了所提方法在复杂水下环境中的有效性和鲁棒性。 展开更多
关键词 rbf 声速剖面 UUV 轨迹增强
在线阅读 下载PDF
基于RBF的船舶调距桨螺距失控故障诊断研究
7
作者 刘润泽 侯显斌 黄英吉 《舰船科学技术》 北大核心 2026年第1期114-119,共6页
为实现船舶调距桨螺距失控故障的精准诊断,提出基于径向基函数(Radial Basis Function,RBF)神经网络的智能诊断方法。通过AMESim仿真平台构建调距桨液压系统多工况模型,模拟液压泵吸入口堵塞、液压缸内泄漏、安全阀弹簧失效等5类典型故... 为实现船舶调距桨螺距失控故障的精准诊断,提出基于径向基函数(Radial Basis Function,RBF)神经网络的智能诊断方法。通过AMESim仿真平台构建调距桨液压系统多工况模型,模拟液压泵吸入口堵塞、液压缸内泄漏、安全阀弹簧失效等5类典型故障,采集系统压力、流量及温度等9维特征参数构建数据集。采用Z-score标准化方法消除量纲差异,结合网格搜索算法优化RBF神经网络扩展参数,建立单隐层故障分类模型,并通过Matlab实现网络训练和验证。结果表明,该方法分类准确率达96%,与传统BP神经网络相比,诊断效率提升23%,误报率降低至3.8%,验证了该模型对非线性故障特征的强适应性和高可靠性。研究成果可为船舶机电设备智能诊断提供可推广技术方案。 展开更多
关键词 调距桨 rbf神经网络 故障诊断 AMESIM仿真
在线阅读 下载PDF
基于EBKA-RBF的304不锈钢管材无芯弯曲回弹角预测
8
作者 苟毓俊 刘泽同 陈建勋 《锻压技术》 北大核心 2026年第2期47-55,共9页
为了实现对管材无芯弯曲回弹角的精确预测,以生产数据为样本集,构建了一种基于径向基函数(RBF)的神经网络模型,并采用一种经多策略增强的黑翅鸢优化算法(EBKA)对该网络进行参数优化,以提升其预测性能。同时,以某钢管厂管材无芯弯曲工艺... 为了实现对管材无芯弯曲回弹角的精确预测,以生产数据为样本集,构建了一种基于径向基函数(RBF)的神经网络模型,并采用一种经多策略增强的黑翅鸢优化算法(EBKA)对该网络进行参数优化,以提升其预测性能。同时,以某钢管厂管材无芯弯曲工艺的回弹角相关数据为测试集,通过学习和训练,分析模型预测的精度和稳定性,并与RBF神经网络和BKA-RBF神经网络的预测结果进行了对比。结果表明,建立的EBKA-RBF神经网络模型预测结果的决定系数R^(2)达到0.9966,均方根误差e_(RMSE)和平均绝对误差e_(MAE)分别为0.0646°和0.0479°,预测值与真实值之间的误差均在工业允许范围内,能够较为准确地预测回弹角,为实际生产和进一步的实验研究提供了理论指导。 展开更多
关键词 无芯弯曲 回弹角 rbf神经网络 BKA算法 高斯变异
原文传递
基于自适应RBF神经网络的光伏阵列故障检测方法
9
作者 邓超 严太山 +2 位作者 车佳祺 何宇诚 王昊 《动力系统与控制》 2026年第1期81-87,共7页
为应对光伏阵列故障检测的实际需求,设计了一种基于总体误差的自适应RBF神经网络算法。该算法依据网络当前训练过程的整体误差与上一次训练整体误差的对比结果,对学习速率和动量参数进行动态优化,让网络的学习方向更加清晰,有效提升了... 为应对光伏阵列故障检测的实际需求,设计了一种基于总体误差的自适应RBF神经网络算法。该算法依据网络当前训练过程的整体误差与上一次训练整体误差的对比结果,对学习速率和动量参数进行动态优化,让网络的学习方向更加清晰,有效提升了网络的学习效率。将基于总体误差的自适应RBF神经网络应用于光伏电站阵列的故障识别,借助Simulink软件平台搭建光伏阵列模型并获取不同故障状态下的运行数据,开展了针对性的故障检测实验。仿真结果表明,采用自适应RBF神经网络的故障检测方法能够实现对光伏阵列故障的高效、准确检测,展现出较好的应用价值。 展开更多
关键词 rbf神经网络 自适应算法 光伏阵列 故障检测
在线阅读 下载PDF
Linking starch particle physicochemical properties to functionality in medicinal plants:Insights from Polygonum multiflorum and Smilax glabra 被引量:1
10
作者 Nan Wang Lingling Wu +2 位作者 Yaya Su Haifeng Tang Hailong Yuan 《Chinese Chemical Letters》 2026年第1期487-491,共5页
This study investigates the properties of high-purity starches extracted from Polygonum multiflorum(PMS)and Smilax glabra(SGS).The starches were characterized by scanning electron microscopy,Fouriertransform infrared ... This study investigates the properties of high-purity starches extracted from Polygonum multiflorum(PMS)and Smilax glabra(SGS).The starches were characterized by scanning electron microscopy,Fouriertransform infrared spectroscopy,X-ray diffraction,high-performance anion-exchange chromatography,and differential scanning calorimetry.Significant differences were observed in their morphological,physicochemical,and functional properties.PMS had a smaller particle size(13.68 μm),irregular polygonal shape,A-type,lower water absorption(62.67 %),and higher oil absorption(51.17 %).In contrast,SGS exhibited larger particles(31.75 μm),a nearly spherical shape,B-type,higher crystallinity(50.66 %),and greater amylose content(21.54 %),with superior thermal stability,shear resistance,and gelatinization enthalpy.SGS also contained higher resistant starch(83.28 %) and longer average chain length(20.58 %),but showed lower solubility,swelling power,light transmittance,and freeze-thaw stability.The physicochemical properties differences in crystal pattern and particle morphology between PMS and SGS lead to distinct behaviors during in vitro digestion and fermentation.These findings highlight the potential of medicinal plant starches in functional ingredients and industrial processes. 展开更多
关键词 Starch particle Physicochemical properties Starch function Resistant starch Starch extraction
原文传递
The Analysis of Gauss Radial Basis Functions and Its Application in Locating Olivine on the Moon
11
作者 SONG Shicang SONG Xiaoyuan SONG Shuhan 《应用数学》 北大核心 2026年第1期173-181,共9页
Gauss radial basis functions(GRBF)are frequently employed in data fitting and machine learning.Their linear independence property can theoretically guarantee the avoidance of data redundancy.In this paper,one of the m... Gauss radial basis functions(GRBF)are frequently employed in data fitting and machine learning.Their linear independence property can theoretically guarantee the avoidance of data redundancy.In this paper,one of the main contributions is proving this property using linear algebra instead of profound knowledge.This makes it easy to read and understand this fundamental fact.The proof of linear independence of a set of Gauss functions relies on the constructing method for one-dimensional space and on the deducing method for higher dimensions.Additionally,under the condition of preserving the same moments between the original function and interpolating function,both the interpolating existence and uniqueness are proven for GRBF in one-dimensional space.The final work demonstrates the application of the GRBF method to locate lunar olivine.By combining preprocessed data using GRBF with the removing envelope curve method,a program is created to find the position of lunar olivine based on spectrum data,and the numerical experiment shows that it is an effective scheme. 展开更多
关键词 Gauss function Radial basis function Machine learning Lunar olivine locating Data fitting
在线阅读 下载PDF
基于RBF神经网络的土石坝渗透系数反演及演化规律研究
12
作者 陈功元 《陕西水利》 2026年第2期32-35,共4页
土石坝渗透系数的动态变化影响坝体渗流特性和稳定性。以某水库土石坝为研究对象,基于有限元数值模拟,构建渗流模型,结合RBF神经网络训练与反演,分析坝体水平与竖向渗透系数的演化规律。结果表明:(1)反演出的各向异性渗透系数中,随着年... 土石坝渗透系数的动态变化影响坝体渗流特性和稳定性。以某水库土石坝为研究对象,基于有限元数值模拟,构建渗流模型,结合RBF神经网络训练与反演,分析坝体水平与竖向渗透系数的演化规律。结果表明:(1)反演出的各向异性渗透系数中,随着年份的增加,水平渗透系数在逐渐减小,竖向渗透系数在逐渐增大;(2)反演出的各向同性渗透系数随着年份的增加在逐渐增大;(3)各向同性渗透系数得到的渗透压力曲线接近实测渗透压力曲线,说明RBF神经网络模型训练得到的各向同性渗透系数精度更高。 展开更多
关键词 土石坝 rbf神经网络模型 渗透系数反演 数值模拟
在线阅读 下载PDF
Microglia overexpressing brain-derived neurotrophic factor promote vascular repair and functional recovery in mice after spinal cord injury 被引量:2
13
作者 Fanzhuo Zeng Yuxin Li +6 位作者 Xiaoyu Li Xinyang Gu Yue Cao Shuai Cheng He Tian Rongcheng Mei Xifan Mei 《Neural Regeneration Research》 2026年第1期365-376,共12页
Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in s... Spinal cord injury represents a severe form of central nervous system trauma for which effective treatments remain limited.Microglia is the resident immune cells of the central nervous system,play a critical role in spinal cord injury.Previous studies have shown that microglia can promote neuronal survival by phagocytosing dead cells and debris and by releasing neuroprotective and anti-inflammatory factors.However,excessive activation of microglia can lead to persistent inflammation and contribute to the formation of glial scars,which hinder axonal regeneration.Despite this,the precise role and mechanisms of microglia during the acute phase of spinal cord injury remain controversial and poorly understood.To elucidate the role of microglia in spinal cord injury,we employed the colony-stimulating factor 1 receptor inhibitor PLX5622 to deplete microglia.We observed that sustained depletion of microglia resulted in an expansion of the lesion area,downregulation of brain-derived neurotrophic factor,and impaired functional recovery after spinal cord injury.Next,we generated a transgenic mouse line with conditional overexpression of brain-derived neurotrophic factor specifically in microglia.We found that brain-derived neurotrophic factor overexpression in microglia increased angiogenesis and blood flow following spinal cord injury and facilitated the recovery of hindlimb motor function.Additionally,brain-derived neurotrophic factor overexpression in microglia reduced inflammation and neuronal apoptosis during the acute phase of spinal cord injury.Furthermore,through using specific transgenic mouse lines,TMEM119,and the colony-stimulating factor 1 receptor inhibitor PLX73086,we demonstrated that the neuroprotective effects were predominantly due to brain-derived neurotrophic factor overexpression in microglia rather than macrophages.In conclusion,our findings suggest the critical role of microglia in the formation of protective glial scars.Depleting microglia is detrimental to recovery of spinal cord injury,whereas targeting brain-derived neurotrophic factor overexpression in microglia represents a promising and novel therapeutic strategy to enhance motor function recovery in patients with spinal cord injury. 展开更多
关键词 ANGIOGENESIS apoptosis brain-derived neurotrophic factor colony stimulating factor 1 receptor inflammation MICROGLIA motor function spinal cord injury vascular endothelial growth factor
暂未订购
The characteristics of cerebral cortical oxygenation levels and functional connectivity under upper and lower limb exercise-induced fatigue
14
作者 Feng Li Yajie Wang +3 位作者 Xinyi Wang Jiawei Bi Ye Luo Lingyan Huang 《Sports Medicine and Health Science》 2026年第1期61-69,共9页
This study aims to explore the impact of fatigue induced by different limb exercises on cerebral cortical oxygenation levels and functional connectivity strength using functional near-infrared spectroscopy(fNIRS).Fati... This study aims to explore the impact of fatigue induced by different limb exercises on cerebral cortical oxygenation levels and functional connectivity strength using functional near-infrared spectroscopy(fNIRS).Fatigue was induced using an upper limb ergometer or a lower limb ergometer,with the load increasing gradually each minute.fNIRS covering the prefrontal cortex and motor cortex were used to collect data during the resting state,both before and after fatigue induction.A two-way ANOVA was conducted to examine differences in oxyhemoglobin(HbO_(2))and functional connectivity before and after fatigue induction in both groups,with the significance level set at 0.05.Exercise-induced fatigue in both the upper and lower limbs leads to a significant decrease in cerebral cortical oxygenation levels.Upper limb fatigue leads to a significant reduction in functional connectivity,there were significant decreases in connectivity within the motor cortex,between the motor cortex and frontal regions,and between the right ventrolateral prefrontal cortex and other frontal regions.Conversely,no significant changes were observed before and after lower limb fatigue.Future studies should focus on examining the extent to which how changes in the cerebral cortex,induced by exercise fatigue,are linked to exercise-and/or performance-related outcomes. 展开更多
关键词 Brain functional connectivity Cerebral oxygenation level Exercise-induced fatigue functional near-infrared spectroscopy
在线阅读 下载PDF
基于便携式近红外光谱与径向基(RBF-KAN)网络的铝矾土中氧化铝含量快速检测
15
作者 武治峰 任柯龙 +2 位作者 徐志彬 左玉昊 雷萌 《中国无机分析化学》 北大核心 2026年第2期236-249,共14页
铝矾土是生产氧化铝的重要原料,其氧化铝含量直接关系到矿石品位评价与冶炼效率控制。传统化学分析方法虽然精度较高,但操作过程繁琐、检测周期长且不具备现场快速分析的能力。近红外光谱技术因具有快速、无损、绿色等优势,为铝矾土成... 铝矾土是生产氧化铝的重要原料,其氧化铝含量直接关系到矿石品位评价与冶炼效率控制。传统化学分析方法虽然精度较高,但操作过程繁琐、检测周期长且不具备现场快速分析的能力。近红外光谱技术因具有快速、无损、绿色等优势,为铝矾土成分定量检测提供了新的解决途径。然而,在便携式检测场景下,光源稳定性、信噪比及建模鲁棒性等问题仍制约着分析精度与模型可推广性。针对上述挑战,本文提出了一种便携式近红外光谱与径向基Kolmogorov-Arnold网络(RBF-KAN)结合的铝矾土氧化铝含量快速检测方法。该方法以标准正态变量变换削弱散射效应与样品差异带来的物理噪声,并基于Kolmogorov-Arnold表示定理构建光谱-氧化铝含量映射模型。模型采用径向基函数替代传统B样条基函数,通过可学习的中心与带宽参数自适应刻画光谱的局部非线性特征,同时在网络中引入L1正则化约束以增强稀疏性和关键波段聚焦能力。实验结果表明,所提出的RBF-KAN模型在五折交叉验证下的平均均方根误差(RMSE)为1.1338%,平均绝对误差(MAE)为0.6506%,决定系数(R^(2))达到0.9414,显著优于支持向量回归、偏最小二乘回归等传统方法。权重可视化结果显示,模型在1435~1460 nm形成显著响应峰,对应O—H伸缩振动的一阶泛频吸收带,验证了其对羟基铝矿物结构特征的物理敏感性。研究表明,该方法能够在保持模型结构简洁与可解释性的同时,实现高精度、快速的氧化铝含量定量检测,为便携式近红外光谱在矿物资源现场分析与智能定量测定中的应用提供了新的技术思路和理论支撑。 展开更多
关键词 铝矾土 近红外光谱 rbf-KAN L1正则化 氧化铝预测
在线阅读 下载PDF
Artificial intelligence in functional gastrointestinal disorders:From precision diagnosis to preventive healthcare
16
作者 Yi-Nan Yan Jing-Qi Zeng Xia Ding 《Artificial Intelligence in Gastroenterology》 2026年第1期20-35,共16页
Functional gastrointestinal disorders(FGIDs),including irritable bowel syndrome(IBS),functional dyspepsia(FD),and gastroesophageal reflux disease(GERD),present persistent diagnostic and therapeutic challenges due to s... Functional gastrointestinal disorders(FGIDs),including irritable bowel syndrome(IBS),functional dyspepsia(FD),and gastroesophageal reflux disease(GERD),present persistent diagnostic and therapeutic challenges due to symptom heterogeneity and the absence of reliable biomarkers.Artificial intelligence(AI)enables the integration of multimodal data to enhance FGID management through precision diagnostics and preventive healthcare.This minireview summarizes recent advancements in AI applications for FGIDs,highlighting progress in diagnostic accuracy,subtype classification,personalized interventions,and preventive strategies inspired by the traditional Chinese medicine concept of“treating the undiseased”.Machine learning and deep learning algorithms have demonstrated value in improving IBS diagnosis,refining FD neuro-gastrointestinal subtyping,and screening for GERD-related complications.Moreover,AI supports dietary,psychological,and integrative medicine-based interventions to improve patient adherence and quality of life.Nonetheless,key challenges remain,including data heterogeneity,limited model interpretability,and the need for robust clinical validation.Future directions emphasize interdisciplinary collaboration,the development of multimodal and explainable AI models,and the creation of patientcentered platforms to facilitate a shift from reactive treatment to proactive prevention.This review provides a systematic framework to guide the clinical application and theoretical innovation of AI in FGIDs. 展开更多
关键词 Artificial intelligence functional gastrointestinal disorders Irritable bowel syndrome functional dyspepsia Gastroesophageal reflux disease
在线阅读 下载PDF
Functional genes associated with the occurrence of mycotoxins produced by Aspergillus in foods
17
作者 Mei Gu Can Liu +4 位作者 Xiaofeng Yue Du Wang Xiaoqian Tang Qi Zhang Peiwu Li 《Journal of Integrative Agriculture》 2026年第2期585-601,共17页
Aspergillus species are ubiquitous fungi that produce mycotoxins(secondary metabolites)known as sterigmatocystin and aflatoxins in many different kinds of foods,which leads to serious contamination in agricultural pro... Aspergillus species are ubiquitous fungi that produce mycotoxins(secondary metabolites)known as sterigmatocystin and aflatoxins in many different kinds of foods,which leads to serious contamination in agricultural products,thereby endangering human health.Extensive studies on Aspergillus fungi have been conducted on growth and development,aflatoxin biosynthesis,and their interactions with environment.Here,we summarized a series of functional genes of the main Aspergillus fungi relative to toxins occurrence in foods,which revealed the signal transduction mechanisms of their involvement in growth and development,toxin production,and response to light,anticipating providing theoretical guidance on developing control and prevention technologies for mycotoxin contamination in agricultural products to ensure food safety. 展开更多
关键词 functional genes ASPERGILLUS AFLATOXIN DEVELOPMENT
在线阅读 下载PDF
Csp^(2)-H functionalization as an efficient catalytic route to carbazoles
18
作者 Giulia Brufani Edoardo Bazzica +2 位作者 Yanlong Gu Francesco Mauriello Luigi Vaccaro 《Chinese Chemical Letters》 2026年第1期39-56,共18页
Given the broad applicability of carbazole structural moieties in materials science and medicinal chemistry,significant efforts have been devoted to developing efficient synthetic catalytic methodologies to access thi... Given the broad applicability of carbazole structural moieties in materials science and medicinal chemistry,significant efforts have been devoted to developing efficient synthetic catalytic methodologies to access this valuable scaffold.Catalyzed direct Csp^(2)-H functionalization provides an effective and costefficient approach to synthesizing carbazoles from simple and readily available starting materials,ensuring a promising path characterized by excellent atom and step economy.This review highlights the substantial progress made in the last 10 years in advancing catalytic Csp^(2)-H functionalization techniques for synthesizing carbazoles. 展开更多
关键词 C-H functionalization CARBAZOLES Synthetic methodologies CATALYSIS
原文传递
基于EWOA-RBFNN的光储VSG自适应控制策略
19
作者 张浩雅 邵文权 +1 位作者 吴成锋 杨鹏 《浙江电力》 2026年第1期78-89,共12页
电网功率扰动引发转动惯量与阻尼系数动态耦合失调,导致传统光储VSG(虚拟同步发电机)存在有功超调及频率波动大的问题。提出一种基于EWOA(增强鲸鱼优化算法)与RBFNN(径向基函数神经网络)的光储VSG惯量与阻尼自适应控制策略。结合VSG数... 电网功率扰动引发转动惯量与阻尼系数动态耦合失调,导致传统光储VSG(虚拟同步发电机)存在有功超调及频率波动大的问题。提出一种基于EWOA(增强鲸鱼优化算法)与RBFNN(径向基函数神经网络)的光储VSG惯量与阻尼自适应控制策略。结合VSG数学模型与小信号模型,分析惯量及阻尼参数的调节方法及其取值范围。通过引入动态参数调整及精英个体指导机制,基于EWOA实现对RBF(径向基函数)权值的全局优化,提升网络对非线性系统的逼近精度与泛化能力。优化后的RBFNN可实时调节VSG惯量与阻尼参数,实现系统动态特性的自适应控制。仿真验证表明,该策略能够有效抑制有功超调及频率偏差,尽管频率波动略有增加,但频率超调量控制在0.5%以内,满足系统运行要求;同时有效缩短系统稳定时间,提升暂态响应性能和系统动态稳定性。 展开更多
关键词 虚拟同步发电机 虚拟惯量 虚拟阻尼系数 rbfNN EWOA 自适应控制
在线阅读 下载PDF
Effects of using multivitamins as dietary supplements on cognitive function in older adults:a systematic review and meta-analysis
20
作者 Yijia Xu Yueqiao(Elle)Wang +1 位作者 Guoxun Chen Rui Li 《Food Science and Human Wellness》 2026年第1期1-12,共12页
Multivitamins were widely used health supplements that replenished essential nutrients in the human body.Despite their popularity,the impact of multivitamins on the cognitive function of older adults remained unclear ... Multivitamins were widely used health supplements that replenished essential nutrients in the human body.Despite their popularity,the impact of multivitamins on the cognitive function of older adults remained unclear and contentious.This study offered a comprehensive review and meta-analysis of research published until June 2024,analyzing the effects of multivitamins on various cognitive functions in individuals aged 65 and older.We included ten randomized controlled trials encompassing 13,600 participants from multiple databases.These studies evaluated the impact of multivitamins on reasoning,memory,learning,visual perception,idea production,cognitive speed,psychomotor abilities,and higher cognitive functions.Our meta-analysis revealed that multivitamins significantly enhanced delayed free recall(SMD=0.09,95%confidence interval(CI)=[0.05,0.13],P=0.0001).However,they had no substantial effects on immediate free recall(SMD=0.85,95%CI=[-0.1,1.9],P=0.11),idea production(SMD=0.00,95%CI=[-0.04,0.03],P=0.86),or cognitive functioning(SMD=0.07,94%CI=[-0.07,0.14],P=0.006).Thus,while multivitamins facilitated delayed free recall,they did not significantly improve other cognitive functions in older adults. 展开更多
关键词 MULTIVITAMINS Cognitive function Older adults META-ANALYSIS
暂未订购
上一页 1 2 250 下一页 到第
使用帮助 返回顶部