The Essentials ofComputer(computer) 460

The Essentials ofComputer(computer) 460 - putation involved...

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putation involved is deceptively easy; the true power of a neural network comes from the parallel processing of the interconnected PEs and the adaptive nature of the sets of weights. The difficulties in creating neural networks lie in determining which neurons (PEs) should be connected to which, what weights should be placed on the edges, and the various thresholds that should be applied to these weights. Furthermore, as a neural network is learning, it can make a mistake. When it does, weights and thresholds must be changed to compensate for the error. The network’s learning algorithm is the set of rules that governs how these changes are to be made. Neural networks are known by many different names, including connectionist systems , adaptive systems , and parallel distributed processing systems . These systems are particularly powerful when a large database of previous examples can be used by the neural net to learn from prior experiences. They have been
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