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检索条件"主题词=Backpropagation Algorithms"
1892 条 记 录,以下是291-300 订阅
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Improving the back-propagation algorithm using evolutionary strategy
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2007年 第2期54卷 171-175页
作者: Siu, Sammy Yang, Sheng-Sung Lee, Chien-Min Ho, Chia-Lu Chunghwa Telecom Co Ltd Telecom Labs Tao Yuan 326 Taiwan Natl Cent Univ Inst Elect Engn Chungli 32054 Taiwan Ind Technol Res Inst Informat & Commun Res Labs New Mobile Access Dept Hsinchu 310 Taiwan Natl Cent Univ Inst Commun Engn Chungli 32054 Taiwan
In order to overcome the existence of the local minimum in the multilayer perceptron (MLP) implemented with back-propagation (BP) algorithm, the evolutionary strategy (ES) is proposed. Introducing the factors of the c... 详细信息
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Three term backpropagation algorithm for classification problem
Three term backpropagation algorithm for classification prob...
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作者: Shamsuddin, Siti Mariyam Darus, Maslina Saman, Fadhlina Izzah Soft Computing Research Group Faculty of Computer Science and Information System Universiti Teknologi Malaysia Universiti Kebangsaan Malaysia
Standard backpropagation Algorithm (BP) usually utilizes two term parameters;Learning Rate and Momentum Factor β. Despite the general success of this algorithm, there are several drawbacks such as existence of local ... 详细信息
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Convergence of Gradient Descent Algorithm for Diagonal Recurrent Neural Networks
Convergence of Gradient Descent Algorithm for Diagonal Recur...
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2nd International Conference on Bio-Inspired Computing
作者: Xu, Dongpo Li, Zhengxue Wu, Wei Ding, Xiaoshuai Qu, Di Dalian Univ Technol Dept Appl Math Dalian 116024 Peoples R China
Recurrent neural networks have been used for analysis and prediction of time series. This paper is concerned with the convergence of the gradient descent algorithm for training the diagonal recurrent neural networks. ... 详细信息
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Generalized MLP/BP-based MIMO DFEs for overcoming ISI and ACI in band-limited channels
Generalized MLP/BP-based MIMO DFEs for overcoming ISI and AC...
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International Symposium on VLSI Design, Automation and Test
作者: Hsu, Terng-Ren Chen, Chi-Shi Hsu, Terng-Yin Lee, Chen-Yi Natl Chiao Tung Univ Dept Elect Engn 1001 Univ Rd Hsinchu 300 Taiwan Chung Hua Univ Dept Microelect Engn Hsinchu 300 Taiwan Natl Chip Implementat Ctr Natl Appl Res Lab Hsinchu 300 Taiwan Natl Chiao Tung Univ Dept Comp Sci & Informat Engn Hsinchu 300 Taiwan
in this work, we base on generalized multi-layered perceptron neural networks with backpropagation algorithm (Generalized MLP/BP) to construct multi-input multi-output (MIMO) decision feedback equalizers (DFEs). The p... 详细信息
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The comparison and selection about the improving backpropagation algorithms of the neural networks based on MATLAB language
The comparison and selection about the improving backpropaga...
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World Congress on Intelligent Control and Automation (WCICA)
作者: Xiangjun Gao Xinzheng Zhang Zhongjuan Li College of Automation Guang Dong University of Technology Guangzhou China
All kinds of modified BP algorithms in the MATLAB's neural networks toolbox are discussed in the optimization techniques and compared with speed and memory. Different problem types applied to those algorithms are ... 详细信息
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A margin maximization training algorithm for BP network
A margin maximization training algorithm for BP network
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4th International Symposium on Neural Networks (ISNN 2007)
作者: Wang, Kai Wang, Qingren Nankai Univ Inst Machine Intelligence Tianjin 300071 Peoples R China
Generalization problem is a key problem in NN society, which can be grouped into two classes: the generalization problem with unlimited size of training sample and that with limited size of training sample. The genera... 详细信息
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Performance Evaluation of Two Distributed backpropagation Implementations
Performance Evaluation of Two Distributed BackPropagation Im...
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International Joint Conference on Neural Networks (IJCNN)
作者: Sorin Babii Vladimir Cretu Emil M. Petriu Department of Computers Politehnica University of Timişoara Timisoara Romania School of Information Technology and Engineering University of Ottawa Ottawa ONT Canada
This article presents the results of some experiments in parallelizing the training phase of a feed-forward, artificial neural network. More specifically, we develop and analyze a parallelization strategy of the widel... 详细信息
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Performance Evaluation for Training a Distributed backpropagation Implementation
Performance Evaluation for Training a Distributed BackPropag...
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International Symposium on Applied Computational Intelligence and Informatics ( SACI)
作者: Sorin Babii Department of Computer and Software Engineering Politehnica University of Timişoara Timisoara Romania
This paper presents the results of some experiments in parallelizing the training phase of a feed-forward, artificial neural network. More specifically, we develop and analyze a parallelization strategy of the widely ... 详细信息
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Opposite Transfer Functions and backpropagation Through Time
Opposite Transfer Functions and Backpropagation Through Time
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IEEE Symposium on Foundations of Computational Intelligence, FOCI
作者: Mario Ventresca Hamid R. Tizhoosh Pattern Analysis and Machine Intelligence (PAMI) laboratory Systems Design Engineering Department University of Waterloo Waterloo ONT Canada
backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process to achieve high accuracy is high. While ma... 详细信息
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A Constructive Approach of Modified Standard backpropagation Algorithm with Optimum Initialization for Feedforward Neural Networks
A Constructive Approach of Modified Standard Backpropagation...
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International Conference on Computational Intelligence and Multimedia Applications
作者: N. Gunaseeli N. Karthikeyan Department of MCA K.L.N College of Engineering Department of MCA Madurai Kamaraj University India
For the learning process of multilayer feedforward neural network, the constructive approach of Modified backpropagation algorithm (MBP), with optimum initialization is proposed. One of the common complaints about the... 详细信息
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