Algorithm and software implementation of adaptive learning method of artificial neural networks
Abstract
Algorithm and software implementation of adaptive learning method of artificial neural networks
The article offers a general gradient methods for all-adaptive method. With the help of an experimental environment was developed by a comparative analysis of gradient methods of finding the minimum. As a result of experiments, it was found that the adaptive method for approaching to a minimum minimal number of iterations. Thus encouraged to use this method in the optimization of the error function, artificial neural network training.
Keywords: neural networks, gradient methods, teaching methods, analysis of optimization techniques.Keywords: