MARC details
| 000 -LEADER |
| fixed length control field |
02961nam a22004695i 4500 |
| 001 - CONTROL NUMBER |
| control field |
978-0-387-31240-8 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20250710083948.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
100301s2006 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9780387312408 |
| -- |
99780387312408 |
| 024 7# - OTHER STANDARD IDENTIFIER |
| Standard number or code |
10.1007/0-387-31240-4 |
| Source of number or code |
doi |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
006.3 |
| Edition information |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Nikolaev, Nikolay Y. |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Adaptive Learning of Polynomial Networks |
| Medium |
[recurso electrónico] : |
| Remainder of title |
Genetic Programming, Backpropagation and Bayesian Methods / |
| Statement of responsibility, etc. |
by Nikolay Y. Nikolaev, Hitoshi Iba. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
Boston, MA : |
| Name of producer, publisher, distributor, manufacturer |
Springer US, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2006. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
XIV, 316 p. |
| Other physical details |
online resource. |
| 336 ## - CONTENT TYPE |
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Carrier type term |
recurso en línea |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 490 1# - SERIES STATEMENT |
| Series statement |
Genetic and Evolutionary Computation |
| 505 0# - FORMATTED CONTENTS NOTE |
| Formatted contents note |
Inductive Genetic Programming -- Tree-Like PNN Representations -- Fitness Functions and Landscapes -- Search Navigation -- Backpropagation Techniques -- Temporal Backpropagation -- Bayesian Inference Techniques -- Statistical Model Diagnostics -- Time Series Modelling -- Conclusions. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and predict well. The empirical investigations detailed here demonstrate that PNN models evolved by genetic programming and improved by backpropagation are successful when solving real-world tasks. Adaptive Learning of Polynomial Networks is a vital reference for researchers and practitioners in the fields of evolutionary computation, artificial neural networks and Bayesian inference, and for advanced-level students of genetic programming. Readers will strengthen their skills in creating efficient model representations and learning operators that efficiently sample the search space, and in navigating the search process through the design of objective fitness functions. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
COMPUTER SCIENCE. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
INFORMATION THEORY. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
ELECTRONIC DATA PROCESSING. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
ARTIFICIAL INTELLIGENCE. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
COMPUTER SCIENCE. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
ARTIFICIAL INTELLIGENCE (INCL. ROBOTICS). |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
COMPUTING METHODOLOGIES. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
THEORY OF COMPUTATION. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Iba, Hitoshi. |
| Relator term |
author. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
| Relationship information |
Printed edition: |
| International Standard Book Number |
9780387312392 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
| Uniform title |
Genetic and Evolutionary Computation |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
| Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/0-387-31240-4">http://dx.doi.org/10.1007/0-387-31240-4</a> |
| Public note |
Ver el texto completo en las instalaciones del CICY |
| 912 ## - |
| -- |
ZDB-2-SCS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Libros electrónicos |