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Artificial Neural Networks for Classification and Prediction

Artificial neural networks (ANNs) are designed to mimic the architecture of the human brain in order to create artificial intelligence like human intelligence. Hence, ANNs use the basic architecture of the human brain, which consists of neurons and connections among neurons. ANNs have processing units like neurons and connections among processing units. This chapter introduces two types of ANNs for classification and prediction: perceptron and multilayer feedforward ANN. In this chapter, we first describe the processing units and how these units can be used to construct various types of ANN architectures. We then present the perceptron, which is a single-layer feedforward ANN, ...

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