13.5. Ann Architectures
Neural networks can be classified into two main categories based on their connection structures: Feed-forward (Non-recurrent) and Feedback (Recurrent). Feed-forward networks, based on their architectures, are further classified into different categories, that is Multilayer Perceptrons (MLPs), Counter-propagation Networks, Cerebellar Model Articulation Controller and Radial Basis Function Networks (RBF Nets). The discussion in this chapter is restricted to the application of MLPs. A brief introduction of RBF Nets and Self-Organizing Feature Maps (SOFMs) is also given.
13.5.1. Multilayer Perceptron
In ANNs, neurons are arranged into groups called layers. The name Multilayer Perceptron itself indicates that there are multi, ...
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