Resolution of Pattern Recognition Problems using a Hybrid Genetic/Random Neural Network Learning Algorithm

摘要

Gelenbe has proposed a neural network, called a Random Neural Network, which calculates the probability of activation of the neurons in the network. In this paper, we propose to solve the patterns recognition problem using a hybrid Genetic/Random Neural Network learning algorithm. The hybrid algorithm trains the Random Neural Network by integrating a genetic algorithm with the gradient Descent rule-based learning algorithm of the Random Neural Network.