Application of a Hierarchical Structure Stochastic Learning Automation

摘要

A hierarchical structure automaton was developed using a two state stochastic learning automato (SLA) in a time shared model. Application of the hierarchical SLA to systems with multidimensional, multimodal performance criteria is described. Results of experiments performed with the hierarchical SLA using a performance index with a superimposed noise component of + or - delta distributed uniformly over the surface are discussed.