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检索条件"主题词=Gradient Descent Algorithms"
17 条 记 录,以下是11-20 订阅
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Hardness Prediction of 7003 Aluminum Alloy by gradient descent Algorithm in BP Artificial Neural Networks
Hardness Prediction of 7003 Aluminum Alloy by Gradient Desce...
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1st International Conference on High Performance Structures and Materials Engineering
作者: Ren, J. P. Song, R. G. Changzhou Univ Sch Mat Sci & Engn Changzhou 213164 Peoples R China
In order to shorten the fussy experimental process in heat treatment of 7003 aluminum alloy, back-propagation (BP) artificial neural network control of scheme has been proposed. The network of arithmetic has been dedu... 详细信息
来源: 评论
Hardness Prediction of 7003 Aluminum Alloy by gradient descent Algorithm in BP Artificial Neural Networks
Hardness Prediction of 7003 Aluminum Alloy by Gradient Desce...
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2011 First International Conference on High Performance Structures and Materials Engineering (ICHPSM 2011)
作者: J.P.Ren R.G.Song School of Materials Science and Engineering Changzhou University Taizhou Vocational College of Science and Technology
In order to shorten the fussy experimental process in heat treatment of 7003 aluminum alloy, back-propagation(BP) artificial neural network control of scheme has been proposed. The network of arithmetic has been deduc... 详细信息
来源: 评论
A generalised mixed norm stochastic gradient algorithm
A generalised mixed norm stochastic gradient algorithm
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15th International Conference on Digital Signal Processing
作者: Boukis, C. Mandic, D. P. Constantinides, A. G. Athens Informat Technol Auton & Grid Comp Grp Peania Athens 19002 Greece Imperial Coll Sch Med Dept Elect Engn London SW7 2BT England
A novel stochastic gradient algorithm for finite impulse response (FIR) adaptive filters, termed the least sum of exponentials (LSE), is introduced. In order to provide a generalisation of the class of weighted mixed ... 详细信息
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OBSTACLE AVOIDANCE FOR MOBILE ROBOTS USING SWITCHING SURFACE OPTIMIZATION
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IFAC Proceedings Volumes 2005年 第1期38卷 19-24页
作者: Mauro Boccadoro Magnus Egerstedt Yorai Wardi Dipartimento di Ingegneria Elettronica e dell'Informazione Università di Perugia 06125 Perugia – Italy Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332
This paper studies the problem of letting an autonomous mobile robot negotiate obstacles in an optimal manner. In particular, a multi-modal control problem is addressed, where different modes of operation control the ... 详细信息
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Nonlinear FIR adaptive filters with a gradient adaptive amplitude in the nonlinearity
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IEEE SIGNAL PROCESSING LETTERS 2002年 第8期9卷 253-255页
作者: Hanna, AI Mandic, DP Univ E Anglia Sch Informat Syst Norwich NR4 7TJ Norfolk England Univ London Imperial Coll Sci Technol & Med Dept Elect & Elect Engn Commun & Signal Proc Grp London SW7 2BT England
A nonlinear gradient descent (NGD) learning algorithm with an adaptive amplitude of the nonlinearity is derived for the class of nonlinear finite impulse response (FIR) adaptive filters (dynamical perceptron). This is... 详细信息
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A normalized gradient descent algorithm for nonlinear adaptive filters using a gradient adaptive step size
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IEEE SIGNAL PROCESSING LETTERS 2001年 第11期8卷 295-297页
作者: Mandic, DP Hanna, AI Razaz, M Univ E Anglia Sch Informat Syst Norwich NR4 7TJ Norfolk England
A fully adaptive normalized nonlinear gradient descent (FANNGD) algorithm for online adaptation of nonlinear neural filters is proposed. An adaptive stepsize that minimizes the instantaneous output error of the filter... 详细信息
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Learning techniques to train neural networks as a state selector for inverter-fed induction machines using direct torque control
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IEEE TRANSACTIONS ON POWER ELECTRONICS 1997年 第5期12卷 788-799页
作者: Cabrera, LA Elbuluk, ME Zinger, DS NO ILLINOIS UNIV DEPT ELECT ENGNDE KALBIL 60115
Neural networks are receiving attention as controllers for many industrial applications. Although these networks eliminate the need for mathematical models, they require a lot of training to understand the model of a ... 详细信息
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