Guide to Neural Computing Applications

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Februar 1998



This text outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers, providing advice which will help make use of the growing number of commercial and public domain neural network software products.


Mathematical background for neural computing * Managing a neural computing project * Identifying applications and assessing their feasibility * Neural computing hardware and software * Collecting and preparing data * Designing, training and testing of the prototype * Case studies * Error propagation algorithm for weight updated in a MLP * Use of Bayes theorem to compensate for different prior probabilities.


An excellent tutorial and practical users guide - far more accessible than the competition.,Professor Alan F. Murray, University of Edinburgh, UK. ... deserves a place on the neural network practitioners bookshelf ...,Proceedings of the Institution of Electrical Engineers,
EAN: 9780340705896
ISBN: 0340705892
Untertitel: 'Hodder Arnold Publication'. Sprache: Englisch.
Erscheinungsdatum: Februar 1998
Seitenanzahl: 160 Seiten
Format: gebunden
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