Title :
Improving Logic Programming in Hopfield Network with Sign Constrained
Author :
Sathasivam, Saratha
Author_Institution :
Sch. of Math. Sci., Univ. Sains Malaysia, Minden, Malaysia
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;
Conference_Titel :
Computer Technology and Development, 2009. ICCTD '09. International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-0-7695-3892-1
DOI :
10.1109/ICCTD.2009.52
