Search History  -  Selected Records  -  My Profile  -  My AlertsEnd Session
Easy SearchQuick SearchExpert SearchThesauruseBook SearchAsk an ExpertHelp
Abstract  -  Detailed
Record 58 from Compendex for: ((meybodi) WN All fields), 1790-2007
Check record to add to Selected Records
58.A note on learning automata-based schemes for adaptation of BP parameters
Meybodi, M.R. (Soft Computing Laboratory, Computer Engineering Department, Amirkabir University of Technology); Beigy, H. Source: Neurocomputing, v 48, October, 2002, p 957-974
Publisher: Elsevier Science B.V.

Abstract: In this paper, we study the ability of learning automata-based schemes in escaping from local minima when standard backpropagation (BP) fails to find the global minima. It is demonstrated through simulation that learning automata-based schemes compared to other schemes such as SAB, Super SAB, Fuzzy BP, adaptive steepness method, and variable learning rate method have a higher ability to escape from local minima. © 2002 Elsevier Science B.V. All rights reserved.
(31 refs.)

Ei controlled terms:
Automata theory  -  Learning systems  -  Neural networks  -  Backpropagation  -  Computer simulation

Classification Code:   
721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory  -  723.4 Artificial Intelligence  -  723.5 Computer Applications

Database: Compendex

  Full-text and Local Holdings Links

About Ei  -  About Engineering Village  -  Feedback  -  Privacy Policy
© 2006 Elsevier Inc. All rights reserved.