Practical neural network recipes in C++
Material type:
TextPublication details: Boston : Academic Press, c1993Description: xviii, 493 p. : ill. ; 1 computer disk (5 1/4 in.)ISBN: 0124790402 (alk. paper); 9780124790407Subject(s): Neural networks (Computer science) | C++ (Computer program language)DDC classification: 005.133 Online resources: Click here to access online | Click here to access online | Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds |
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Reference Books
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Main Library Reference | Reference | 005.133 MAS (Browse shelf(Opens below)) | Available | 010564 |
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| 005.133 MAL C++ Programming: From Problem Analysis to Program Design | 005.133 MAL C++ programming: Form Problem Analysis to Program Design | 005.133 MAL C++ programming : | 005.133 MAS Practical neural network recipes in C++ | 005.133 MED Perl by example | 005.133 MEL Sams teach yourself PHP, MYSQL and Apache : all in one | 005.133 MIL MCSD Visual Basic 6 desktop applications study guide (Exams 70-176) |
System requirements for computer disk: PC; C++ compiler.
Included Index.
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.
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 its performance. The IBM diskette includes the source code for all the programs in the book.
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