WIT Press

Neural Networks In Engineering

Price

Free (open access)

Paper DOI

10.2495/AI940011

Volume

6

Pages

32

Published

1994

Size

2,175 kb

Author(s)

D.T. Pham

Abstract

Invited Paper Neural networks in engineering D.T. Pham Intelligent Systems Laboratory, School of Electrical, Electronic and Systems Engineering, University of Wales College of Cardiff, Cardiff, Abstract This paper divides neural networks into categories based on their structures and training methods and describes examples in each category. The paper outlines broad groups of engineering applications of neural networks, cites different applications in the major engineering disciplines and presents some recent applications investigated in the author's laboratory. Introduction Neural networks are computational models of the brain. There are over 50 different neural network models, some based more closely on current understanding of the brain operation than others. However, in general neural networks all have two of the brain's important characteristics: a parallel and distributed architecture and an ability to learn. This paper aims to give a bird's eye view of the te

Keywords