Title :
Internal conflicts in neural networks
Author :
Gilev, S. Ye ; Gorban, A.N. ; Mirkes, Ye.M.
Author_Institution :
Comput. Center, Krasnoyarsk AMSE Center, Russia
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;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location :
Rostov-on-Don
Print_ISBN :
0-7803-0809-3
DOI :
10.1109/RNNS.1992.268591
