Neural Computing: An Introduction and Some Applications

摘要

Artificial neural network models have been studied for many years with the hope of designing information processing systems to produce human-like performance. The present article provides an introduction to neural computing by reviewing three commonly used models (namely, Hopfield's model, Kohonen's model and the Multi-layer perceptron) and showing their applications in various fields such as pattern classification, image processing and optimization problems. Some discussions are made on the merits of fusion of fuzzy logic and neural network technologies, and robustness of network based systems.