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Why use neural networks?

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Why use neural networks?

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1.4 Neural networks versus conventional computers – a comparison 2. Human and Artificial Neurones – investigating the similarities 2.1 How the Human Brain Learns? 2.2 From Human Neurones to Artificial Neurones 3. An Engineering approach 3.1 A simple neuron – description of a simple neuron 3.2 Firing rules – How neurones make decisions 3.3 Pattern recognition – an example 3.4 A more complicated neuron 1. Introduction to neural networks 1.1 What is a Neural Network? An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurones) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classificat

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