Improving a Fuzzy Inference System by Means of Evolution Strategy

In this paper, evolution strategy is applied in order to improve the time series prediction accuracy of a Sugeno and Takagi type fuzzy inference system FIS. The presented approach additionally serves as a method to predetermine the structure of radial basis function networks RBFN: the number of hidden units as well as the starting parameters for a further optimization are estimated.

• Type: Conference
• Year: 1994
• Where: FUZZY
• Authors: Willfried Wienholt
• Keywords: FUZZY 1994, Fuzzy Logic, Radial Basis Function, Series Prediction Accuracy, Type Fuzzy Inference