Abstract
This is an introductory overview of neural networks. The subject is now divided into two tracks, artificial neural networks (ANNs) and computational neuroscience (CNS). Artificial neural networks are being applied in finance, industry, and commerce. Computational neuroscience attempts to model the brain, from the analysis of a single living nerve cell to the study of consciousness and self-consciousness of the whole brain. There is no doubt that neural networks will enter into a new regime of application and explanatory power in the next millenium.
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.
Bibliography
Rumelhart DE, McClelland JL and the PDP Research Group (1986) Parallel Distributed Processing, Cambridge MA: MIT Press.
Beale R and Jackson C (1990) Introduction to Neural Networks, Bristol: Institute of Physics Publ.
Taylor JG (1993) The Promise of Neural Networks, London: Springer Verlag
Rojas R (1995) Neural Networks, A Systematic Introduction, Berlin: Springer Verlag
Haykin S (1994) Neural Networks, A Comprehensive Foundation, New York: Macmillan
Bishop CM (1995) Neural Networks for Pattern Recognition, Oxford: Clarendon Press.
Golden RM (1996) Mathematical Methods for Neural Network Analysis and Design, Cambridge Mass: Bradford Books, MIT Press.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag London Limited
About this chapter
Cite this chapter
Taylor, J.G. (1998). Neural Networks: An Overview. In: Landau, L.J., Taylor, J.G. (eds) Concepts for Neural Networks. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3427-5_1
Download citation
DOI: https://doi.org/10.1007/978-1-4471-3427-5_1
Publisher Name: Springer, London
Print ISBN: 978-3-540-76163-1
Online ISBN: 978-1-4471-3427-5
eBook Packages: Springer Book Archive