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检索条件"主题词=Back-propagation Algorithm"
209 条 记 录,以下是181-190 订阅
Prediction of processing parameters for injection moulding by using a hybrid neural network
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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE 2001年 第10期215卷 1465-1470页
作者: Yarlagadda, PKDV Queensland Univ Technol Fac Built Environm & Engn Sch Mech Mfg & Med Engn Brisbane Qld 4001 Australia
In the present work attempts have been made to determine the process parameters that could affect an injection moulding process based on governing equations of the mould-filling process. Focus is then directed to para... 详细信息
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Neural network based modelling of environmental variables: A systematic approach
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MATHEMATICAL AND COMPUTER MODELLING 2001年 第6-7期33卷 669-682页
作者: Maier, HR Dandy, GC Univ Adelaide Dept Civil & Environm Engn Ctr Appl Modelling Water Engn Adelaide SA 5005 Australia
Feedforward artificial neural networks (ANNs) that are trained with the back-propagation algorithm are a useful tool for modelling environmental systems. They have already been successfully used to model salinity, nut... 详细信息
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Two regimes of computer hyphenation - a comparison
Two regimes of computer hyphenation - a comparison
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International Joint Conference on Neural Networks (IJCNN 01)
作者: Kristensen, T Langmyhr, D Bergen Univ Coll Dept Comp Sci NO-5020 Bergen Norway
This paper presents two different regimes to automatically hyphenate Norwegian text. One method is based on a back-propagation neural network while the other uses the TEX algorithm. The two approaches are described an... 详细信息
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Introduction of orthonormal transform into neural filter for accelerating convergence speed
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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2000年 第2期E83A卷 367-370页
作者: Nakanishi, I Itoh, Y Fukui, Y Tottori Univ Fac Educ & Reg Sci Tottori 6808551 Japan Tottori Univ Fac Engn Tottori 6808551 Japan
As the nonlinear adaptive filter: the neural filter is utilized to process the nonlinear signal and/or system. However, the neural filter requires large number of iterations for convergence. This letter presents a new... 详细信息
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A training algorithm for multilayer neural networks of hard-limiting units with random bias
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IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES 2000年 第6期E83A卷 1040-1048页
作者: Zhu, HB Eguchi, K Tabata, T Hiroshima Kokusai Gakuin Univ Hiroshima 7390321 Japan Kumamoto Natl Coll Technol Kumamoto 8611102 Japan
The conventional back-propagation algorithm cannot be applied to networks of units having hard-limiting output functions, because these functions cannot be differentiated. In this paper, a gradient descent algorithm s... 详细信息
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Mapping of neural network models onto systolic arrays
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JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING 2000年 第6期60卷 677-689页
作者: Mahapatra, S Mahapatra, RN Reg Engn Coll Dept Comp Sci Engn & Applicat Rourkela 769008 Orissa India Texas A&M Univ Dept Comp Sci College Stn TX 77843 USA
This paper presents a mapping scheme for the proposed implementation of neural network models on systolic arrays. The mapping technique is illustrated on the multilayer perceptron with back-propagation learning. Depen... 详细信息
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Neural networks with hybrid morphological/rank/linear nodes: a unifying framework with applications to handwritten character recognition
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PATTERN RECOGNITION 2000年 第6期33卷 945-960页
作者: Pessoa, LFC Maragos, P Motorola Inc Austin TX 78721 USA Natl Tech Univ Athens Dept Elect & Comp Engn GR-15773 Zografos Athens Greece
In this paper, the general class of morphological/rank/linear (MRL) multilayer feed-forward neural networks (NNs) is presented as a unifying signal processing tool that incorporates the properties of multilayer percep... 详细信息
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Optical learning neural network with fuzzy controlling
Optical learning neural network with fuzzy controlling
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Conference on Optics in Computing 2000
作者: Mori, M Yagai, Y Lin, X Yatagai, T Electrotech Lab Div Optoelect Tsukuba Ibaraki 3058568 Japan
We constructed a learning optical neural network with variable learning coefficient by fuzzy controlling. The system performs learning with two-dimensional optical means for handling images without scanning and pixeli... 详细信息
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A New On-Line PID Tuning Method Using Neural Networks
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IFAC Proceedings Volumes 2000年 第4期33卷 443-448页
作者: A.B. Rad T.W. Bui Yan Li Y.K. Wong Department of Electrical Engineering The Hong Kong Polytechnic University Hunghom Hong Kong
This paper presents an on-line PID tuning control method, based on the parameters of a first-order plus dead-time (FOPDT) model, which are obtained by using Neural Networks (NN). The outputs of the neural networks are... 详细信息
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Parallel training algorithm of BP neural networks
Parallel training algorithm of BP neural networks
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3rd World Congress on Intelligent Control and Automation
作者: Li, J Li, YX Xu, JW Zhang, JB Wuhan Univ State Key Lab Software Engn Wuhan 430072 Peoples R China
As the training process of back-propagation neural networks converges slowly and immerses in local vibration frequently, an algorithm named parallel training algorithm is proposed, which is based on the Master/Slave m... 详细信息
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