咨询与建议

限定检索结果

文献类型

  • 181 篇 期刊文献
  • 102 篇 会议
  • 1 篇 学位论文

馆藏范围

  • 284 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 247 篇 工学
    • 148 篇 计算机科学与技术...
    • 86 篇 电气工程
    • 33 篇 控制科学与工程
    • 19 篇 信息与通信工程
    • 18 篇 软件工程
    • 13 篇 材料科学与工程(可...
    • 13 篇 电子科学与技术(可...
    • 12 篇 环境科学与工程(可...
    • 10 篇 石油与天然气工程
    • 9 篇 土木工程
    • 8 篇 机械工程
    • 8 篇 仪器科学与技术
    • 6 篇 水利工程
    • 5 篇 化学工程与技术
    • 4 篇 动力工程及工程热...
    • 4 篇 交通运输工程
    • 3 篇 测绘科学与技术
    • 3 篇 核科学与技术
  • 55 篇 理学
    • 16 篇 数学
    • 12 篇 物理学
    • 9 篇 生物学
    • 7 篇 统计学(可授理学、...
    • 5 篇 化学
    • 4 篇 地球物理学
    • 3 篇 系统科学
    • 3 篇 生态学
  • 33 篇 管理学
    • 33 篇 管理科学与工程(可...
  • 19 篇 医学
    • 11 篇 基础医学(可授医学...
    • 10 篇 临床医学
  • 4 篇 经济学
    • 4 篇 应用经济学
  • 4 篇 农学

主题

  • 284 篇 backpropagation ...
  • 49 篇 neural network
  • 37 篇 neural networks
  • 33 篇 artificial neura...
  • 32 篇 artificial neura...
  • 15 篇 multilayer perce...
  • 12 篇 backpropagation
  • 10 篇 classification
  • 9 篇 deep learning
  • 9 篇 pattern recognit...
  • 8 篇 particle swarm o...
  • 7 篇 ann
  • 7 篇 neural nets
  • 7 篇 machine learning
  • 6 篇 backpropagation ...
  • 6 篇 genetic algorith...
  • 6 篇 multilayer perce...
  • 5 篇 decision boundar...
  • 5 篇 system identific...
  • 5 篇 on-line learning

机构

  • 4 篇 tijuana inst tec...
  • 2 篇 dept. of compute...
  • 2 篇 himeji inst tech...
  • 2 篇 department of te...
  • 2 篇 kiet dept elect ...
  • 2 篇 indian stat inst...
  • 2 篇 tech univ madrid...
  • 2 篇 raajdhani engn c...
  • 2 篇 directorate of p...
  • 2 篇 natl univ singap...
  • 2 篇 pakistan electri...
  • 2 篇 univ aizu dept c...
  • 2 篇 yildiz tech univ...
  • 2 篇 andhra univ coll...
  • 2 篇 bengal engn & sc...
  • 2 篇 fdn fulgor ra-50...
  • 1 篇 worcester polyte...
  • 1 篇 univ milan dept ...
  • 1 篇 zagazig univ fac...
  • 1 篇 univ malaya dept...

作者

  • 4 篇 gaxiola fernando
  • 4 篇 melin patricia
  • 4 篇 valdez fevrier
  • 3 篇 tanaka h
  • 3 篇 park ys
  • 3 篇 al-andoli mohamm...
  • 3 篇 ishibuchi h
  • 3 篇 castillo oscar
  • 3 篇 zhao qiangfu
  • 3 篇 kaneda yuya
  • 3 篇 liu yong
  • 3 篇 tan shing chiang
  • 2 篇 hueda mario r.
  • 2 篇 qiangfu zhao
  • 2 篇 goh pey yun
  • 2 篇 lek s
  • 2 篇 xie yuquan
  • 2 篇 sivatte-adroer m...
  • 2 篇 hata y
  • 2 篇 wang zh

语言

  • 260 篇 英文
  • 20 篇 其他
  • 2 篇 中文
检索条件"主题词=BackPropagation Algorithm"
284 条 记 录,以下是191-200 订阅
排序:
Analysis of two restart algorithms
收藏 引用
NEUROCOMPUTING 2006年 第16-18期69卷 2301-2308页
作者: Lin, Wei Chen, Tianping Fudan Univ Inst Math Inst Nonlinear Math Sci Shanghai 200433 Peoples R China
Since the backpropagation algorithm used for neural network training suffers from a slow convergence and often sticking in local minima, the restart mechanism has been introduced, whose strategy is to cut off the trai... 详细信息
来源: 评论
NN-LEAP:: A neural network-based model for controlling leachate flow-rate in a municipal solid waste landfill site
收藏 引用
ENVIRONMENTAL MODELLING & SOFTWARE 2006年 第8期21卷 1190-1197页
作者: Karaca, Ferhat Ozkaya, Bestamin Yildiz Tech Univ Fac Civil Engn Dept Environm Engn TR-34349 Istanbul Turkey Fatih Univ Dept Environm Engn Istanbul Turkey
A method is proposed for modeling leachate flow-rate in a municipal solid waste (MSW) landfill site, based on a popular neural network - the backpropagation algorithm (neural network-based leachate prediction method;N... 详细信息
来源: 评论
NN-AirPol: a neural-networks-based method for air pollution evaluation and control
收藏 引用
INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION 2006年 第3-4期28卷 310-325页
作者: Karaca, Ferhat Nikov, Alexander Alagha, Omar Fatih Univ Dept Environm Engn TR-34900 Istanbul Turkey Fatih Univ Dept Ind Engn TR-34900 Istanbul Turkey
A method for air pollution evaluation and control, based on one of the most popular neural networks - the backpropagation algorithm, is proposed. After the backpropagation training, the neural network, based on weathe... 详细信息
来源: 评论
Evolutionary training of hardware realizable multilayer perceptrons
收藏 引用
NEURAL COMPUTING & APPLICATIONS 2006年 第1期15卷 33-40页
作者: Plagianakos, VP Magoulas, GD Vrahatis, MN Univ Patras Articicial Intelligence Res Ctr Computat Intelligence Lab Dept Math GR-26110 Patras Greece Univ London Sch Comp Sci & Informat Syst London WC1E 7HX England
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks, provides tolerance to noise and imp... 详细信息
来源: 评论
Estimation of chemical oxygen demand by ultraviolet spectroscopic profiling and artificial neural networks
收藏 引用
NEURAL COMPUTING & APPLICATIONS 2006年 第3-4期15卷 197-203页
作者: Fogelman, S Blumenstein, M Zhao, HJ Griffith Univ Ctr Aquat Proc & Pollut Sch Environm & Appl Sci Fac Environm SciGold Coast Mail Ctr Gold Coast Qld 9726 Australia Griffith Univ Sch Informat & Commun Technol Fac Engn & Informat Technol Gold Coast Mail Ctr Gold Coast Qld 9726 Australia
A simple method based on the mathematical treatment of spectral absorbance profiles in conjunction with artificial neural networks (ANNs) is demonstrated for rapidly estimating chemical oxygen demand (COD) values of w... 详细信息
来源: 评论
RBF neural network based model as an optimal classifier for the classification of radar returns from the ionosphere
RBF neural network based model as an optimal classifier for ...
收藏 引用
IEEE International Conference on Industrial Technology
作者: Salankar, Suresh S. Patre, Balasaheb M. BD Coll Engn Dept Elect & Telecommun Sevagram 442102 India SGGS Inst Engn & Technol Dept Instrumentat Nanded 431606 Maharashtra India
Research into the problem of classification of radar returns from the ionosphere has been taken up as a challenging task for the neural networks (NNs). It appears from the literature review that for the Multi layer Pe... 详细信息
来源: 评论
LEARNING OF MULTILAYER NEURAL NETWORKS WITH THRESHOLD ACTIVATION FUNCTIONS FOR PATTERN CLASSIFICATION
收藏 引用
IFAC Proceedings Volumes 2006年 第3期39卷 523-528页
作者: M.P. Batura V.A. Ptitchkin Belarusian State University of Informatics and Radioelectronics 6 P. Brovky Str. 220027 Minsk Belarus
Application of multi-layer neural networks with threshold activation functions is proposed for classification of patterns. For networks learning, using of back-propagation algorithm is proposed. Modification of this a... 详细信息
来源: 评论
Investigating the enhancement of three-dimensional diffraction tomography by using multiple illumination planes
收藏 引用
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION 2005年 第7期22卷 1251-1262页
作者: Vouldis, AT Kechribaris, CN Maniatis, TA Nikita, KS Uzunoglu, NK Natl Tech Univ Athens Dept Elect & Comp Engn Biomed Simulat & Imaging Lab GR-15773 Athens Greece
The three dimensional (3-D) extension of the two well-known diffraction tomography algorithms, namely, direct Fourier interpolation (DFI) and filtered backpropagation. (FBP), are presented and the problem of the data ... 详细信息
来源: 评论
On the use of neural networks to evaluate groundwater levels in fractured media
收藏 引用
JOURNAL OF HYDROLOGY 2005年 第1-4期307卷 92-111页
作者: Lallahem, S Mania, J Hani, A Najjar, Y Univ Lille Ecole Polytech Dept Geotech & Genie Civil CNRSUMR 8107LML F-59655 Villeneuve Dascq France Kansas State Univ Dept Civil Engn Manhattan KS 66506 USA
This paper evaluates the feasibility of using artificial neural network (ANN) methodology for estimating the groundwater level in some piezometers implanted in unconfined chalky aquifer of Northern France. These aquif... 详细信息
来源: 评论
Modelling combined open channel flow by artificial neural networks
收藏 引用
HYDROLOGICAL PROCESSES 2005年 第18期19卷 3747-3762页
作者: Yang, HC Chang, FJ Natl Taiwan Univ Dept Bioenvironm Syst Engn Taipei 10764 Taiwan
Combined open channel flow is encountered in many hydraulic engineering structures and processes, such as irrigation ditches and wastewater treatment facilities. Extensive experimental studies have conducted to invest... 详细信息
来源: 评论