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Artificial Neural Networks

  1. Lipo Wang,
  2. Kiuju Fu

Published Online: 16 MAR 2009

DOI: 10.1002/9780470050118.ecse021

Wiley Encyclopedia of Computer Science and Engineering

Wiley Encyclopedia of Computer Science and Engineering

How to Cite

Wang, L. and Fu, K. 2009. Artificial Neural Networks. Wiley Encyclopedia of Computer Science and Engineering. 181–188.

Author Information

  1. Nanyang Technological University, Singapore

Publication History

  1. Published Online: 16 MAR 2009

Abstract

Artificial neural networks (ANNs) are computational models inspired from the thinking pattern of human brain. ANNs can learn and generalize from experiences, and they can abstract essential information from data. ANNs are trained to “think” like humans by strengthening or weakening interconnected weights that connect processing elements of ANNs. In the literature, the terms “neuron,” “cell,” and “unit” are usually used interchangeably for representing processing elements of neural networks.

Keywords:

  • neural networks;
  • multilayer perceptron;
  • bidirectional associative memory;
  • radial basis function;
  • back propagation;
  • feed forward;
  • fuzzy neural networks;
  • linear least square method