Abstract:
In paper, the singleton-type fuzzy system is considered. The direct ant colony algorithm for systems identification is offered. Working capacity of identification algorithm is confirmed by a number of simulating experiments in which course algorithm parameters varied. The comparative analysis of the received results with analogues is given.
Keywords:fuzzy systems identification, ant colony optimization.