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检索条件"主题词=Backpropagation Algorithms"
1893 条 记 录,以下是231-240 订阅
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An adaptive backpropagation through time training algorithm for a neutral controller
An adaptive backpropagation through time training algorithm ...
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IEEE International Symposium on Intelligent Control (ISIC)
作者: M. Chow S.O. Yee Department of Electrical and Computer Engineering North Carolina State University Raleigh NC USA
An adaptive method is proposed for choosing the time length (or number of time steps) used in the standard backpropagation through time (BTT) algorithm. BTT is commonly used in training neurocontrollers to perform con... 详细信息
来源: 评论
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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Self-organizing neural networks by dynamic and spatial changing weights  4
Self-organizing neural networks by dynamic and spatial chang...
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4th International Symposium on Uncertainty Modeling and Analysis
作者: Homma, N Gupta, MM Yoshizawa, M Abe, K Tohoku Univ Coll Med Sci Aoba Ku Sendai Miyagi 9808575 Japan
We propose a self-organizing neural structure with dynamic and spatial changing weights for forming a feature space representation of concepts. An essential core of this self-organization is an appropriate combination... 详细信息
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A neural network-based direct inverse control for active control of vibrations of mechanical systems  6
A neural network-based direct inverse control for active con...
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6th Brazilian Symposium on Neural Networks
作者: de Abreu, GLCM Teixeira, RL Ribeiro, JF Univ Fed Uberlandia Dep Engn Mecan Lab Dinam Sistemas Mecanicos BR-38400902 Uberlandia MG Brazil
This paper describes the use of Artificial Neural Networks for the control of vibrations of a mechanical system using its experimental direct inverse model. The neural controller is trained to model the experimental i... 详细信息
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Standardization of Neural Network Terminology
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IEEE Transactions on Neural Networks 1990年 第2期1卷 244-245页
作者: Eberhart, Russell C. Applied Physics Laboratory Johns Hopkins University Laurel MD 20707 United States
It is desirable to move toward commonly accepted terminology in the neural network field. This letter outlines the initial activities of an Ad Hoc Standards Committee established by the IEEE Neural Networks Council to... 详细信息
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Supervised backpropagation neural networks for the classification of ultrasonic signals from fiber microcracking in metal matrix composites
Supervised backpropagation neural networks for the classific...
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IEEE Symposium (IUS) Ultrasonics
作者: L.L. Mann T.E. Matikas P. Karpur S. Krishnamurthy NDE Branch Materials Directorate OH USA Research Institute University of Dayton Dayton OH USA Universal Energy Systems Inc. Dayton OH USA
The results of the application of supervised backpropagation neural networks to the classification of ultrasonic signals obtained from a model metal matrix composite are presented. This composite is made of a single f... 详细信息
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Performance analysis of backpropagation Algorithm of Artificial Neural Networks in Verilog
Performance analysis of Backpropagation Algorithm of Artific...
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IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)
作者: J Amrutha A S Remya Ajai Amrita Vishwa Vidyapeetham Amritapuri India
Artificial neural networks learn or get trained to execute definite tasks, instead of programmed computational systems through training algorithms such as backpropagation algorithm. It is the basic tool for pattern cl... 详细信息
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Lazy training: improving backpropagation learning through network interaction
Lazy training: improving backpropagation learning through ne...
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International Joint Conference on Neural Networks (IJCNN)
作者: M.E. Rimer T.L. Andersen T.R. Martinez Computer Science Department Brigham Young University Provo UT USA
backpropagation, similar to most high-order learning algorithms, is prone to overfitting. We address this issue by introducing interactive training (IT), a logical extension to backpropagation training that employs in... 详细信息
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The effects of quantization on the backpropagation learning
The effects of quantization on the backpropagation learning
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International Conference on Neural Networks
作者: K. Ikeda A. Suzuki K. Nakayama Department of Elec. Computer Engineering Kanazawa University Kanazawa Japan
The effects of the quantization of the parameters of a learning machine are discussed. The learning coefficient should be as small as possible for a better estimate of parameters. On the other hand, when the parameter... 详细信息
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A suggestion for solving negative transfer problem in VLSI backpropagation neural networks
A suggestion for solving negative transfer problem in VLSI b...
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International Joint Conference on Neural Networks (IJCNN)
作者: Jien-Chung Lo S. Kolluri Department of Electrical Engineering University of Rhode Island Kingston RI USA
To overcome negative transfer problem in backpropagation (BP) neural networks, a modified BP algorithm has been proposed. However, for VLSI BP neural networks, this means an extensive design efforts. We analyze in thi... 详细信息
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