As. Poznyak et al., ANALYSIS OF THE BEHAVIOR OF MULTILEVEL HIERARCHICAL SYSTEMS OF LEARNING AUTOMATA AND THEIR APPLICATION FOR MULTIMODAL FUNCTIONS OPTIMIZATION, International Journal of Systems Science, 27(1), 1996, pp. 97-112
Citations number
13
Categorie Soggetti
System Science","Computer Science Theory & Methods","Operatione Research & Management Science
Multilevel hierarchical systems of learning stochastic automata are in
vestigated in this paper. The system under consideration consists of s
eueral levels of automata with different number of outputs. Each autom
aton is a variable-structure stochastic automaton. A learning scheme w
hich is based on the Bush-Mosteller reinforcement scheme is used to ad
just the probabilities associated with the actions of the automata of
the hier archical learning system. Boolean and continuous automaton in
puts have been considered. Convergence and convergence rate analysis a
re presented. The optimization of multimodal functions using this mult
ilevel system of automata is also described. Simulation results indica
te the effectiveness of such multilevel learning systems.