Neural Network Toolbox

Perceptron Architecture

The perceptron network consists of a single layer of S perceptron neurons connected to R inputs through a set of weights w_i,j as shown below in two forms. As before, the network indices i and j indicate that w_i,j is the strength of the connection from the jth input to the ith neuron.

The perceptron learning rule that we will describe shortly is capable of training only a single layer. Thus, here we will consider only one-layer networks. This restriction places limitations on the computation a perceptron can perform. The types of problems that perceptrons are capable of solving are discussed later in this chapter in the "Limitations and Cautions" section.

Neuron Model

Creating a Perceptron (newp)

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