The Optimization of the Structures and Weights of a Neural Network by Means of an Evolutionary Algorithm

Many structures and models are available to design a neural network. The accuracy of a neural network depends on its structure, the number of layers, as well as the number of neurons in each layer. Therefore, structures and sizes of neural networks are two important factors. When there are a number of local criteria in a number of optimization issues. In this paper, proposed three-layer weight of proposed neural networkwith two W1 and W2 matrices and some neural assumptions in the second and third layers with two vectors are shown. In addition, it simultaneously expands the weight of the neural network. We continue to optimize the weight of the networks with more layers using the matrix.

Keywords:

structure , neural network , model , weight , Extreme Learning Machine (ELM)