Perceptron Neural Networks application
This part describes single layer neural networks, including some of the classical approaches to the neural computing and learning problem. In the first part of this chapter we discuss the representational power of the single layer networks and their learning algorithms and will give some examples of using the networks. In the second part we will discuss the representational limitations of single layer networks. Two 'classical' models will be described in the first part of the chapter: the Perceptron, proposed by Rosenblatt (Rosenblatt, 1959) in the late 50's and the Adaline, presented in the early 60's by by Widrow and Hoff (Widrow & Hoff, 1960). Read more
Source: Artificial neural networks
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