MARC details
| 000 -LEADER |
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| fixed length control field |
01369nam a22002297a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20200826163655.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
190107b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789332570313 |
| 040 ## - CATALOGING SOURCE |
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| Transcribing agency |
0 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
004.89 |
| Item number |
HAY |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Haykin, Simon |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Neural networks and learning machines |
| Statement of responsibility, etc. |
Simon Haykin |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
3/e |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Noida |
| Name of publisher, distributor, etc. |
Pearson |
| Date of publication, distribution, etc. |
2016 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Page number |
909p. |
| Other physical details |
ill., |
| Dimensions |
24cm |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Title |
Rosenblatt's perceptron --<br/> |
| -- |
Model building through regression --<br/> |
| -- |
The least-mean-square algorithm --<br/> |
| -- |
Multilayer perceptrons --<br/> |
| -- |
Kernel methods and radial-basis function networks --<br/> |
| -- |
Support vector machines --<br/> |
| -- |
Regularization theory --<br/> |
| -- |
Principal-components analysis --<br/><br/> |
| -- |
Self-organizing maps --<br/> |
| -- |
Information-theoretic learning models -- |
| -- |
Stochastic methods rooted in statistical mechanics --<br/><br/> |
| -- |
Dynamic programming -- |
| -- |
Neurodynamics --<br/> |
| -- |
Bayseian filtering for state estimation of dynamic systems --<br/> |
| -- |
Dynamically driven recurrent networks. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Using a wealth of case studies to illustrate the real-life, practical applications of neural networks, this state-of-the-art text exposes students to many facets of Neural Networks |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neural networks (Computer science) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neural networks (Computer science) -- Problems, exercises, etc. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Lernendes System |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
1170 |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
1171 |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
1172 |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
4536 |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) |
|---|
| -- |
4537 |
