DocumentCode
1578949
Title
Internal conflicts in neural networks
Author
Gilev, S. Ye ; Gorban, A.N. ; Mirkes, Ye.M.
Author_Institution
Comput. Center, Krasnoyarsk AMSE Center, Russia
fYear
1992
Firstpage
219
Abstract
Hierarchical neural networks consisting of small expert networks are considered. Fast parallel learning algorithms are proposed. An implementation example is presented, and two test tasks are considered, one pertaining to the electron of the US president and the other to recognition of succession shift
Keywords
hierarchical systems; learning (artificial intelligence); neural nets; parallel algorithms; US president; electron; expert networks; hierarchical neural nets; internal conflicts; parallel learning algorithms; succession shift recognition; Computer networks; Education; Intelligent networks; Neural networks; Neurons; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location
Rostov-on-Don
Print_ISBN
0-7803-0809-3
Type
conf
DOI
10.1109/RNNS.1992.268591
Filename
268591
Link To Document