ON THE OPTIMAL STRUCTURE DESIGN OF MULTILAYER FEEDFORWARD NEURAL NETWORKS FOR PATTERN RECOGNITION-Reference-Cited by-同舟云学术

ON THE OPTIMAL STRUCTURE DESIGN OF MULTILAYER FEEDFORWARD NEURAL NETWORKS FOR PATTERN RECOGNITION

Published:2002-06 Issue:04 Volume:16 Page:375-398
ISSN:0218-0014
Container-title:International Journal of Pattern Recognition and Artificial Intelligence
language:en
Short-container-title:Int. J. Patt. Recogn. Artif. Intell.

Author:

CHEN DAQING¹,BURRELL PHILLIP¹

Affiliation:

1. Knowledge-Based Systems Center, School of Computing, Information Systems and Mathematics, South Bank University, London, UK

Abstract

In this survey paper, the-state-of-the-art of the optimal structure design of Multilayer Feedforward Neural Network (MFNN) for pattern recognition is reviewed. Special emphasis is laid on the scale-limited MFNN and the internal representation and decision boundary-based design methodologies. A comprehensively comparative study of the main characteristics of each method is presented. Also, future research directions are outlined.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218001402001812

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