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978-3-540-32849-0 |
| 003 - CONTROL NUMBER IDENTIFIER |
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DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20161121231118.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
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100301s2006 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783540328490 |
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978-3-540-32849-0 |
| 024 7# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1007/3-540-32849-1 |
| Source of number or code |
doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA75.5-76.95 |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UY |
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bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
UYA |
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bicssc |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
COM014000 |
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bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
COM031000 |
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bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
004.0151 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Ferreira, C�ndida. |
| Relator term |
author.1 |
| 245 0# - TITLE STATEMENT |
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| Title |
Gene Expression Programming |
| Medium |
[electronic resource] : |
| Remainder of title |
Mathematical Modeling by an Artificial Intelligence / |
| Statement of responsibility, etc. |
by C�ndida Ferreira. 1 |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
Berlin, Heidelberg : |
| Name of producer, publisher, distributor, manufacturer |
Springer Berlin Heidelberg, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2006. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
XX, 480 p. |
| Other physical details |
online resource. |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
online resource |
| Carrier type code |
cr |
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rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
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| File type |
text file |
| Encoding format |
PDF |
| Source |
rda1 |
| 490 ## - SERIES STATEMENT |
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| Series statement |
Studies in Computational Intelligence, |
| International Standard Serial Number |
1860-949X ; |
| Volume/sequential designation |
210 |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
Introduction: The Biological Perspective -- The Entities of Gene Expression Programming -- The Basic Gene Expression Algorithm -- The Basic GEA in Problem Solving -- Numerical Constants and the GEP-RNC Algorithm -- Automatically Defined Functions in Problem Solving -- Polynomial Induction and Time Series Prediction -- Parameter Optimization -- Decision Tree Induction -- Design of Neural Networks -- Combinatorial Optimization -- Evolutionary Studies. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
C�ndida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists. This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes. C�ndida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists. This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes. 0 |
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| 773 ## - HOST ITEM ENTRY |
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| 776 ## - ADDITIONAL PHYSICAL FORM ENTRY |
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| International Standard Book Number |
9783540327967 0 |
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| 830 ## - SERIES ADDED ENTRY--UNIFORM TITLE |
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| International Standard Serial Number |
1860-949X ; |
| Volume/sequential designation |
2140 |
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