Abstract
Most tasks currently being tackled by neural networks might be viewed as pattern recognition tasks. For example, a control problem might be expressed as the production of a set response when a certain pattern is observed on some input sensors. The scope of this chapter has been limited to classification and clustering problems, where it is possible to set clear criteria for success, enabling ready comparison of neural network and conventional methods. These two problems are described below, in terms of supervised and unsupervised learning, and their application to a number of real problems will be described more fully later.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Burch S F and Beating N K (1986) NDT International 19, 145–153
Chatfield C and Collins A J (1980) Introduction to multivariate analysis. Chapman and Hall
Duda R and Hart P (1973) Pattern classification and scene analysis. John Wiley & Sons, New York
Fukunaga K (1972) Introduction to statistical pattern recognition. Academic Press, New York
Fukushima K (1988) Neocognitron: A hierarchical neural network capable of visual pattern recognition. Neural Networks 1 (2), 119–130
Huang W Y and Lippmann R P (1987) IEEE First International Conference on Neural Networks, San Diego CA, USA, 1987, IV 485–494
Kohonen T (1988) Self-organisation and associative memory. Springer-Verlag, Berlin, second edition Kohonen T, Bama G and Chrisley R ( 1989 ) Neural networks from models to applcations. (Ed) Personnaz and Dreyfus, IDSET, Paris, 160–167
Rumelhart D E, Hinton G and Williams G (1986) Learning internal representations by error propagation. In Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Bradford Books/MIT Press, Cambridge, Massachusetts
Tou J T and Gonzalez R C (1974) Pattern recognition principles. Addison-Wesley
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 ECSC — EEC — EAEC, Brussels — Luxembourg
About this chapter
Cite this chapter
Croall, I.F., Mason, J.P. (1992). Pattern Recognition. In: Croall, I.F., Mason, J.P. (eds) Industrial Applications of Neural Networks. Research Reports ESPRIT, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-84837-7_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-84837-7_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55875-0
Online ISBN: 978-3-642-84837-7
eBook Packages: Springer Book Archive