DocumentCode
2769077
Title
Improving Logic Programming in Hopfield Network with Sign Constrained
Author
Sathasivam, Saratha
Author_Institution
Sch. of Math. Sci., Univ. Sains Malaysia, Minden, Malaysia
Volume
2
fYear
2009
fDate
13-15 Nov. 2009
Firstpage
161
Lastpage
164
Abstract
The convergence property for doing logic programming in Hopfield network can be accelerated by using sign constrained method. The capacity and attractor performance of these networks is tested by using computer simulations. In this paper, it has been proven by computer simulations that the new approach provides good solutions.
Keywords
Hopfield neural nets; convergence; logic programming; Hopfield network; computer simulations; convergence property; logic programming; sign constrained method; Acceleration; Associative memory; Computer networks; Computer simulation; Cost function; Electronic mail; Intelligent networks; Logic programming; Neural networks; Neurons; Hopfield; logic; sign constrained;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Technology and Development, 2009. ICCTD '09. International Conference on
Conference_Location
Kota Kinabalu
Print_ISBN
978-0-7695-3892-1
Type
conf
DOI
10.1109/ICCTD.2009.52
Filename
5360128
Link To Document