Neural Networks

Abstract

Rule-based systems and Bayesian networks cannot effectively solve problems such as image or speech recognition. Artificial neural networks (ANNs), or simply neural networks, are effective in solving complex problems, i.e., in modeling complex nonlinear functions. ANNs model the functioning of the brain’s neurons; ANN can be trained to “learn” how to recognize patterns and classify data [1].