Title :
On finite automata principles of analysis and synthesis of neural-like structures
Author :
Divnov, S.A. ; Fofanov, Yu V. ; Naumov, A.V.
Abstract :
An approach to the interpretation of spin system behavior is presented. In this framework, it is possible to describe system dynamics using the theory of finite automata. The authors consider problems relating to experiment planning theory applied to the construction of finite automata, the interpretation of the Hopfield network as a finite automaton, and the simulation of finite automaton behavior on it
Keywords :
Associative memory; Automata; Equations; Glass; Gradient methods; Machine vision; Network synthesis; Neural networks; Pattern recognition;
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.1992.268513
