Fuzzy system optimization using a hierarchical genetic algorithm applied to pattern recognition

Abstract:

In this paper a new method of hierarchical genetic algorithm for fuzzy inference systems optimization is proposed. This method was used to perform the combination of responses of modular neural networks for human recognition based on face, iris, ear and voice. The main idea of this paper is to perform the optimization of some parameters of fuzzy inference system, such as: type of fuzzy logic, type of system, number of fuzzy membership function in each variable, percentage of rules, type of membership functions (Trapezoidal or Gaussian) and parameters The results obtained using the hierarchical genetic algorithm show to have better results than non-optimized fuzzy inference as can be verified with the results.

Año de publicación:

2015

Keywords:

Fuente:

google