Effective neural network approach to image recognition and control

Abstract

A new approach to structuring and training of feed-forward artificial neural networks (ANN) is proposed. That leads to overcome many shortcomings of multilayer perceptrons and ANNs with radial basis functions (RBF-nets). A dynamical training algorithm is developed in order to keep the optimal number of neurons in the hidden layers and to guarantee the finiteness of the training procedure due to individual training of each neuron. Results of applying of the proposed neural network to recognizing frontal images of human faces look very promising and give rise to propose a non-expensive security system.