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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Neural Networks
verfasst von : Baoding Liu
Erschienen in: Theory and Practice of Uncertain Programming
Verlag: Springer Berlin Heidelberg
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Neural network (NN), inspired by the current understanding of biological NN, is a class of adaptive systems consisting of a number of simple processing elements, called neurons, that are interconnected to each other in a feedforward way. Although NN can perform some human brain-like tasks, there is still a huge gap between biological and artificial NN. An important contribution of NN is the ability to learn to perform operations, not only for inputs exactly like the training data, but also for new data that may be incomplete or noisy. NN has also the benefit of easy modification by retraining with an updated data set. For our purpose, the significant advantage of NN is the speed of operation after it is trained.