The research on an algorithm for special two-hidden layer artificial neural networks

Generalization ability of the network and training time are the two important aspects that we must consider when we design the neural network algorithms. At the same time, the optimization of neural network architecture must be considered in each artificial neural network based on the BP algorithm. But to the larger networks, there are no more suitable ways to solve this problem. This paper proposes an especial two-hidden-layer artificial neural network. After describing the major steps of this algorithm, some experimental results and analysis are given out. Those experimental results indicate that the generalization ability, training time and the architecture optimization of the networks have been improved obviously in this algorithm.