Practical neural network recipes in C++ (Record no. 11402)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01886cam a2200229 a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 0124790402 (alk. paper) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780124790407 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | MAS |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Masters, Timothy. |
| 245 10 - TITLE STATEMENT | |
| Title | Practical neural network recipes in C++ |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Boston : |
| Name of publisher | Academic Press, |
| Year of publication | c1993. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xviii, 493 p. : |
| Other physical details | ill. ; |
| Accompanying material | 1 computer disk (5 1/4 in.) |
| 500 ## - GENERAL NOTE | |
| General note | System requirements for computer disk: PC; C++ compiler. |
| 500 ## - GENERAL NOTE | |
| General note | Included Index. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Neural networks (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | C++ (Computer program language) |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://www.loc.gov/catdir/description/els032/92047469.html |
| 856 41 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://www.loc.gov/catdir/toc/els032/92047469.html |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Reference Books |
| Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Reference | Main Library | Main Library | Reference | 08/10/2007 | Purchased | 10784.00 | 005.133 MAS | 010564 | Reference Books |