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| PRACTICAL NEURAL NETWORK RECIPIES IN C++
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To order this title, and for more information, click here
By
. Masters
Description
This text serves as a cookbook for neural network solutions to practical problems using C++. It will enable those with moderate programming
experience to select a neural network model appropriate to solving a particular problem, and to produce a working program implementing
that network. The book provides guidance along the entire problem-solving path, including designing the training set, preprocessing
variables, training and validating the network, and evaluating its performance. Though the book is not intended as a general course
in neural networks, no background in neural works is assumed and all models are presented from the ground up.
The principle focus of
the book is the three layer feedforward network, for more than a decade as the workhorse of professional arsenals. Other network models
with strong performance records are also included.
Bound in the book is an IBM diskette that includes the source code for all programs
in the book. Much of this code can be easily adapted to C compilers. In addition, the operation of all programs is thoroughly discussed
both in the text and in the comments within the code to facilitate translation to other languages.
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.
| Bibliographic details |
Paperback, 493 pages, publication date: MAR-1993
ISBN-13: 978-0-12-479040-7
ISBN-10: 0-12-479040-2
Imprint: MORGAN KAUFFMAN
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| Price and Ordering |
Price:
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GBP 59
EUR 69.95
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Last update: 4 Sep 2009
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