Neural Networks

Stephen Lynch ()
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Stephen Lynch: Manchester Metropolitan University, Department of Computing and Mathematics

Chapter 17 in Dynamical Systems with Applications using Maple¿, 2010, pp 395-426 from Springer

Abstract: Aims and Objectives • To provide a brief historical background to neural networks. • To investigate simple neural network architectures. • To consider applications in the real world. • To present working Maple program worksheets for some neural networks. • To introduce neurodynamics. On completion of this chapter, the reader should be able to • use the generalized delta learning rule with backpropagation of errors to train a network; • determine the stability of Hopfield networks using a suitable Lyapunov function; • use the Hopfield network as an associative memory; • study the dynamics of a neuromodule in terms of bistability, chaos, periodicity, quasiperiodicity, and chaos control.

Keywords: Neural Network; Hide Layer; Lyapunov Function; Bifurcation Diagram; Synaptic Weight (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-0-8176-4605-9_18

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