Hybrid conjugate gradient as neural network using new line search technique

Abstract EN

In this paper a conjugate gradient algorithm was devised as a neural network, based on a middle algorithm, according to which the appropriate learning rate for this network was calculated.

Accordingly, a new neural network with high speed and of a supervised type was obtained.

This mathematical style proposed as a new neural network proved to be efficient with regard the results for different English letters.