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 MATLAB program files 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.
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Lynch, S. (2014). Neural Networks. In: Dynamical Systems with Applications using MATLAB®. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-06820-6_18
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DOI: https://doi.org/10.1007/978-3-319-06820-6_18
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