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Introduction to Neural Networks

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Abstract

In this chapter we discuss how the biological neurons process information, the difference between the spatiotemporal processing of frequency encoded information conducted by a biological neuron and the amplitude and frequency encoded signals processed by the artificial neural networks. We discuss the various types of artificial neural networks that exist, their architectures and topologies, and how to allow such neural networks to possess plasticity, which allows the neurons to adapt and change as they process presynaptic signals.

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Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL, USA

    Gene I. Sher

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  1. Gene I. Sher
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Sher, G.I. (2013). Introduction to Neural Networks. In: Handbook of Neuroevolution Through Erlang. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4463-3_2

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  • DOI: https://doi.org/10.1007/978-1-4614-4463-3_2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4462-6

  • Online ISBN: 978-1-4614-4463-3

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