Multi-layer Perceptron Neural Network Training Based on Improved of Stud GA

Neural network is one of the most widely used algorithms in the field of machine learning, On the other hand, neural network training is a complicated and important process. Supervised learning needs to be organized to reach the goal as soon as possible. A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples. Hence, in this paper,

کلیدواژه ها:

Genetic Algorithms ، Chaos Theory ، Artificial Neural Networks ، Evolutionary– Neural Network ، Stud GA