DocumentCode :
2233950
Title :
A new learning algorithm for Hopfield neural network to cope retrieving the stored pattern in a reversed color state problem
Author :
Aiyal, Ali Shanoon ; Abdulqader, Ayad Hussain ; Wan, Tat-Chee ; Obeed, Wafaa Nassar
Author_Institution :
Nat. Adv. IPv6 Center of Excellent (NAv6), Univ. Sains Malaysia (USM), Nibong Tebal, Malaysia
Volume :
2
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
The aim beyond this paper is to developing the learning process in the Hopfield net for its important net through which many other networks have been developed, we suggest a certain algorithm for the learning process, the suggested algorithm has rid from one of limitations in the Hopfield net which is retrieving the stored pattern in a reversed color state (each black pixel will be white and vice versa).
Keywords :
Hopfield neural nets; learning (artificial intelligence); Hopfield neural network; learning algorithm; reversed color state problem; stored pattern retrieval; Color; Energy function; Hopfield Neural Network; Learning algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579801
Filename :
5579801
Link To Document :
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