Publisher's Synopsis
Neural networks have attracted the interest of scientists from many disciplines: engineering, computer science, mathematics, physics, biology, and cognitive science. This volume collects 15 contributions, written by leading international researchers in these areas, that illustrate important features of various neural network methodologies. Two papers discuss fundamental principles of neural networks. The remainder detail modifications of basic neural systems that improve system performance in specific application domains. Where appropriate, improvements are demonstrated by numerical examples.
