ABSTRACT
Artišcial neural networks (ANN) are systems inspired by research into how the brain works. An ANN consists of a collection of arithmetic computing units (nodes or neurons) connected together in a network of interconnected layers. A typical node of an ANN is shown in Figure 16.1. At the input side, there are a number of so-called connections that have a weight of Wij associated with them. e input denoted by Xi gets multiplied by Wij before reaching node j via the respective connection. Inside the neuron, all the individual inputs are šrst summed up. e summed inputs are passed through a nonlinear singleinput, single-output function “S” to produce the output of the neuron. is output in turn is propagated to other neurons via corresponding connections.
