Chapter 13. MATLAB Applications in Neural Networks

Learning Objectives

  • Salient features of Artificial Neural Networks (ANNs).

  • Artificial neuron model, its transfer functions and different architectures.

  • MATLAB functions related to creation of Multilayer Perceptron (newff), training (train), scaling input-output data (mapminmax), simulating an ANN (sim).

  • Implementation of an example problem using Multilayer Perceptron (MLP).

  • Solution of the same example using Graphical User Interface (GUI). Tool (nntool) available in Neural Networks Toolbox.tm

  • Solution of a Water Bath Temperature Control System problem using command line statements.

  • Basic MATLAB functions related to creation of Radial Basis Function Networks (RBF Nets) (newrb, newrbe) and Self-Organizing ...

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