MARC details
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
100314s2009 enka b 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780131293762 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0131293761 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(Sirsi) u4904 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-CaNU |
| Transcribing agency |
EG-CaNU |
| Modifying agency |
EG-CaNU |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
ncode |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.32 |
| Edition number |
22 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Haykin, Simon S., |
| Dates associated with a name |
1931- |
| 9 (RLIN) |
318 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Neural networks and learning machines / |
| Statement of responsibility, etc. |
Simon Haykin. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
3rd ed. / |
| Remainder of edition statement |
International ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Harlow ; |
| -- |
London : |
| Name of publisher, distributor, etc. |
Pearson Education, |
| Date of publication, distribution, etc. |
2009. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
934 p. : |
| Other physical details |
ill. ; |
| Dimensions |
23 cm. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Previous ed.: published as Neural networks. Upper Saddle River, N.J.: Prentice Hall, 1999. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Preface x -- Introduction 1 -- Chapter 1 Rosenblatt’s Perceptron 47 -- Chapter 2 Model Building through Regression 68 -- Chapter 3 The Least-Mean-Square Algorithm 91 -- Chapter 4 Multilayer Perceptrons 122 -- Chapter 5 Kernel Methods and Radial-Basis Function Networks 230 -- Chapter 6 Support Vector Machines 268 -- Chapter 7 Regularization Theory 313 -- Chapter 8 Principal-Components Analysis 367 -- Chapter 9 Self-Organizing Maps 425 -- Chapter 10 Information-Theoretic Learning Models 475 -- Chapter 11 Stochastic Methods Rooted in Statistical Mechanics 579 -- Chapter 12 Dynamic Programming 627 -- Chapter 13 Neurodynamics 672 -- Chapter 14 Bayseian Filtering for State Estimation of Dynamic Systems 731 -- Chapter 15 Dynamically Driven Recurrent Networks 790 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science. Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/ Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently. |
| 596 ## - |
|---|
| -- |
1 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neural networks (Computer science) |
| 9 (RLIN) |
1507 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Neural networks (Computer science) |
| Form subdivision |
Problems, exercises, etc. |
| 9 (RLIN) |
1507 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Haykin, Simon S., |
| Dates associated with a name |
1931- |
| Title of a work |
Neural networks. |
| 9 (RLIN) |
318 |