Use of Engineering Fuzzy Sets, BP Neural Network and Genetic Algorithm for Intelligent Decision-Making

Abstract

On the ground of fuzzy optimum selection of BP neural network model, the paper introduces genetic algorithm to the model and presents an intelligent decision-making model based on fuzzy optimum selection of BP neural network model and mixed with genetic algorithm. A case proved that the intelligent decision-making model is efficient and robust in determining network topologic structure, accelerating convergence velocity and enhancing the global optimum ability. The intelligent decision-making model is further development of the fuzzy optimum selection of BP neural network model.