云南高校图书馆联盟文献共享服务平台- NEURAL

NEURAL_NETWORKS: 作品数：993被引量：1769H指数：16; 导出分析报告; 相关作者：李爱群费树岷宋爱国王一清温秀兰更多>>; 相关机构：东南大学南京航空航天大学北京理工大学中国石油大学（北京）更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>

Adaptive multiscale convolutional neural network model for chemical process fault diagnosis被引量：3: 《Chinese Journal of Chemical Engineering》2022年第10期398-411,共14页Ruoshi Qin Jinsong Zhao; support from the National Science and Technology Innovation 2030 Major Project of the Ministry of Science and Technology of China(2018AAA0101605);the National Natural Science Foundation of China(21878171)。; Intelligent fault recognition techniques are essential to ensure the long-term reliability of manufacturing.Due to the variations in material,equipment and environment,the process variables monitored by sensors contai...; 关键词：Neural networks Multiscale Adaptive attentionmodule Triplet lossoptimization Fault diagnosis Chemical processes

Thin-film neural networks for optical inverse problem: 《Light(Advanced Manufacturing)》2021年第4期23-30,共8页Lingjie Fan Ang Chen Tongyu Li Jiao Chu Yang Tang Jiajun Wang Maoxiong Zhao Tangyao Shen Minjia Zheng Fang Guan Haiwei Yin Lei Shi Jian Zi; This work was supported by the China National Key Basic Research Program(2018YFA0306201);the National Science Foundation of China(11774063,11727811,and 91963212);A.C.was supported by the Shanghai Rising-Star Program(20QR1402200);L.S.was further supported by the Science and Technology Commission of Shanghai Municipality(19XD143600,2019SHZDZX01,19DZ2253000,20501110500).; The thin-film optical inverse problem has attracted a great deal of attention in science and industry,and is widely applied to optical coatings.However,as the number of layers increases,the time it takes to extract th...; 关键词：METHOD INVERSE FILM

Photonic-dispersion neural networks for inverse scattering problems被引量：2: 《Light(Science & Applications)》2021年第10期1819-1828,共10页Tongyu Li Ang Chen Lingjie Fan Minjia Zheng Jiajun Wang Guopeng Lu Maoxiong Zhao Xinbin Cheng Wei Li Xiaohan Liu Haiwei Yin Lei Shi Jian Zi; The work was supported by the China National Key Basic Research Program(2016YFA0301103,2016YFA0302000 and 2018YFA0306201);the National Science Foundation of China(11774063,11727811,91750102 and 91963212);A.C.was supported by Shanghai Rising-Star Program(20QB1402200);L.S.was further supported by the Science and Technology Commission of Shanghai Municipality(19XD1434600,2019SHZDZX01,and 19DZ2253000).; Inferring the properties of a scattering objective by analyzing the optical far-field responses within the framework of inverse problems is of great practical significance.However,it still faces major challenges when ...; 关键词：SCATTERING DISPERSION NEURAL

NIPAD： a non-invasive power-based anomaly detection scheme for programmable logic controllers被引量：4: 《Frontiers of Information Technology & Electronic Engineering》2017年第4期519-534,共16页Yu-jun XIAO Wen-yuan XU Zhen-hua JIA Zhuo-ran MA Dong-lian QI; Project supported by the National Basic Research Program(973)of China(No.2015AA050202); Industrial control systems （ICSs） are widely used in critical infrastructures, making them popular targets for attacks to cause catastrophic physical damage. As one of the most critical components in ICSs, the progr...; 关键词：Industrial control system Programmable logic controller Side-channel Anomaly detection Long short-term memory neural networks

A visual awareness pathway in cognitive model ABGP: 《High Technology Letters》2016年第4期395-403,共9页马刚 Yang Xi Lu Chengxiang Zhang Bo Shi Zhongzhi; Supported by the National Basic Research Program of China(No.2013CB329502);the National Natural Science Foundation of China(No.61035003,61202212); the National Science and Technology Support Program(No.2012BA107B02); The cognitive model ABGP is a special model for agents,which consists of awareness,beliefs,goals and plans. The ABGP agents obtain the knowledge directly from the natural scenes only through some single preestablished...; 关键词：ABGP visual cortex(V1) convolution neural networks(CNN) AWARENESS visual pathway

Statistical scenarios forecasting method for wind power ramp events using modified neural networks被引量：14: 《Journal of Modern Power Systems and Clean Energy》2015年第3期371-380,共10页Mingjian CUI Deping KE Di GAN Yuanzhang SUN; This work was supported by the National Basic Research Program of China(No.2012CB215101).; Wind power ramp events increasingly affect the integration of wind power and cause more and more problems to the safety of power grid operation in recent years.Several forecasting techniques for wind power ramp events...; 关键词：Neural networks Genetic algorithm Probability generating model Statistical scenarios captured bands Statistical scenarios forecasting Wind power ramp events Wind power

NEURAL NETWORKS AND THE BEST TRIGOMOMETRIC APPROXIMATION被引量：1: 《Journal of Systems Science & Complexity》2011年第2期401-412,共12页Jianjun WANG ZongbenXU; This paper was supported by the National Basic Research Program of China （973 Program） under Grant No. 2007CB311000, the Natural Science Foundation of China under Grant Nos. 11001227, 60972155, 10701062, the Key Project of Chinese Ministry of Education under Grant No. 108176, Natural Science Foundation Project of CQ CSTC Nos. CSTC 2009BB2306, CSTC2009BB2305, the Fundamental Research Funds for the Central Universities under Grant No. XDJK2010B005, XDJK2010C023.; With the best trigonometric polynomial approximation as a metric, the rate of approxi- mation of the one-hidden-layer feedforward neural networks to approximate an integrable function is estimated by using a construct...; 关键词：APPROXIMATION best trigonometric approximation neural networks

Lower estimation of approximation rate for neural networks被引量：1: 《Science in China(Series F)》2009年第8期1321-1327,共7页CAO FeiLong ZHANG YongQuan XU ZongBen; Supported by the National Natural Science Foundation of China (Grant No. 60873206);the National Basic Research Program of China(Grant No. 2007CB311002); Let SFd and ∏φ,n,d ={∑j^n=1bjφ（wj.x＋θj）：bj,θj∈R,wj∈R^d} be the set of periodic and Lebesgue＇s square-integrable functions and the set of feedforward neural network （FNN） functions, respectively. Denote ...; 关键词：feedforward neural networks APPROXIMATION topology structure of hidden layer RATE LOWER

A new result on global exponential robust stability of neural networks with time-varying delays被引量：4: 《控制理论与应用（英文版）》2009年第3期315-320,共6页Jinliang SHAO Tingzhu HUANG; supported by 973 Programs (No.2008CB317110);the Key Project of Chinese Ministry of Education (No.107098);Sichuan Province Project for Applied Basic Research (No.2008JY0052);the Project for Academic Leader and Group of UESTC; In this paper, the global exponential robust stability of neural networks with ume-varying delays is investigated. By using nonnegative matrix theory and the Halanay inequality, a new sufficient condition for global e...; 关键词：Neural networks Time-varying delays Global exponential robust stability

Two-Layer Feedback Neural Networks with Associative Memories: 《Chinese Physics Letters》2008年第11期3871-3874,共4页吴桂坤赵鸿; Supported by the National Natural Science Foundation of China under Grant No 10475067 and National Basic Research Programme of China under Grant No 2007CB814800.; We construct a two-layer feedback neural network by a Monte Carlo based algorithm to store memories as fixed-point attractors or as limit-cycle attractors. Special attention is focused on comparing the dynamics of the...; 关键词：the power-law exponents PRECIPITATION durative abrupt precipitation change

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