Title :
Weighting method of the Hopfield neural networks by mathematical programming
Author :
Mizutani, Hikaru ; Tanaka, Mamoru
Author_Institution :
Dept. of Electr. Eng., Shynan Inst. of Technol., Fujisawa, Japan
Abstract :
A novel weighting method for a Hopfield neural network for an effective associative fundamental memory is presented. The parameters are determined by mathematical programming to produce a kind of code space. Results of simulations show the complete association
Keywords :
Hopfield neural nets; content-addressable storage; mathematical programming; Hopfield neural networks; associative fundamental memory; code space; mathematical programming; weighting method; Associative memory; Computer networks; Hopfield neural networks; IEEE members; Mathematical programming; Neural networks; Neurons;
Conference_Titel :
Circuits and Systems, 1991., Proceedings of the 34th Midwest Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-0620-1
DOI :
10.1109/MWSCAS.1991.252102
