An Application of Weighted Triangular Normsto Complexity Reduction of Neuro-fuzzy Systems

摘要

In the paper we develop a new method for designing and reduction of neuro-fuzzy systems. The method is based on the concept of the weighted triangular norms. In subsequent stages we reduce number of inputs, number of rules and number of antecedents. Simulation results are given.