A weight value initialization method for improving learning performance of the backpropagation algorithm in neural networks

In this paper, we propose a new method (the OIVS method) for initializing weight values, which is based on the equations representing the characteristics of the information transformation mechanism of a node. Numerical simulations show that the learning performance of the OIVS method is superior to that of the conventional method. It should be noted that if we use appropriate values of the parameters in the OIVS method, the nonconvergence case can be avoided