Simulating neural networks with Mathematica / (Record no. 8690)
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| 001 - CONTROL NUMBER | |
|---|---|
| control field | 1086096 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200126093752.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 920615s1994 maua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 92002345 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 020156629X |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780201566291 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Sirsi) u996 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| -- | (DLC) 92002345 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | EG-CaNU |
| Transcribing agency | EG-CaNU |
| Modifying agency | EG-CaNU |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | ncode |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.87 |
| Item number | .F72 1994 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Edition number | 20 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Freeman, James A. |
| 9 (RLIN) | 17639 |
| 245 10 - TITLE STATEMENT | |
| Title | Simulating neural networks with Mathematica / |
| Statement of responsibility, etc. | James A. Freeman. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Reading, Mass. : |
| Name of publisher, distributor, etc. | Addison-Wesley, |
| Date of publication, distribution, etc. | c1994. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x, 341 p. : |
| Other physical details | ill. ; |
| Dimensions | 25 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references (p. 335-336) and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction to Neural Networks and Mathematica. -- Training by Error Minimization. -- Backpropagation and Its Variants. -- Probability and Neural Networks. -- Optimization and Constraint Satisfaction with Neural Networks. -- Feedback and Recurrent Networks. -- Adaptive Resonance Theory. -- Genetic Algorithms. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book introduces neural networks, their operation, and application, in the context of the interactive Mathematica environment. Readers will learn how to simulate neural network operations using Mathematica, and will learn techniques for employing Mathematica to assess neural network behavior and performance. For students of neural networks in upper-level undergraduate or beginning graduate courses in computer science, engineering, and related areas. Also for researchers and practitioners interested in using Mathematica as a research tool.Features |
| 596 ## - | |
| -- | 1 |
| 630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | CIT. |
| 9 (RLIN) | 14 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Neural networks (Computer science) |
| 9 (RLIN) | 1507 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Main library | Main library | General Stacks | 01/26/2020 | GIFT | 006.3 / FR.S 1994 | 001207 | 11/24/2019 | 1 | 11/24/2019 | Books |