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Practical neural network recipes in C++

Author: Timothy Masters
Publisher: Boston : Academic Press, ©1993.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:

A handbook for neural network solutions to practical problems using C++, providing guidance on designing the training set, preprocessing variables, training and validating the network and evaluating  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Timothy Masters
ISBN: 0124790402 9780124790407 0124790410 9780124790414
OCLC Number: 27266076
Description: xviii, 493 pages : illustrations ; 24 cm + 1 computer disc (5 1/4 in.)
Details: System requirements for computer disk: PC; C++ compiler.
Contents: Foundations. Classification. Autoassociation. Time Series Prediction. Function Approximation. Multilayer Feedforward Networks. Eluding Local Minimai: Simulated Annealing. Eluding Local Minima II: Genetic Optimisation. Regression and Neural Networks. Designing Feedforward Network Architectures. Interpreting Weights: How Does This Thing Work? Probalistic Neural Networks. Functional Link Networks. Hybrid Networks. Designing the Training Set. Preparing Input Data. Fuzzy Data and Processing. Unsupervised Training. Evaluating Performance of Neural Networks. Hybrid Networks. Designing the Training Set. Preparing Input Data. Fuzzy Data and Processing. Unsupervised Training. Evaluating Performance of Neural Networks. Confidence Measures. Optimizing the Decision Threshold. Using the NEURAL Program. Appendix. Bibliography. Index.
Responsibility: Timothy Masters.
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