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Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence

Gene Expression Programming: Mathematical Modeling by an Artificial Intelligence
Kataloginformation
Feldname Details
Vorliegende Sprache eng
Hinweise auf parallele Ausgaben 254507522 Buchausg. u.d.T.: ‡Ferreira, Cândida: Gene expression programming
ISBN 978-3-540-32796-7
Name Ferreira, Cândida
T I T E L Gene Expression Programming
Zusatz zum Titel Mathematical Modeling by an Artificial Intelligence
Verlagsort Berlin, Heidelberg
Verlag Springer Berlin Heidelberg
Erscheinungsjahr 2006
2006
Umfang Online-Ressource (XX, 478 p. Also available online, digital)
Reihe Studies in Computational Intelligence ; 21
Notiz / Fußnoten Description based upon print version of record
Weiterer Inhalt ""Preface to the Second Edition""; ""Preface to the First Edition""; ""List of Symbols""; ""Contents""; ""1 Introduction: The Biological Perspective""; ""2 The Entities of Gene Expression Programming""; ""3 The Basic Gene Expression Algorithm""; ""4 The Basic GEA in Problem Solving""; ""5 Numerical Constants and the GEP- RNC Algorithm""; ""6 Automatically Defined Functions in Problem Solving""; ""7 Polynomial Induction and Time Series Prediction""; ""8 Parameter Optimization""; ""9 Decision Tree Induction""; ""10 Design of Neural Networks""; ""11 Combinatorial Optimization"". ""12 Evolutionary Studies""""Bibliography""; ""Index""
Titelhinweis Buchausg. u.d.T.: ‡Ferreira, Cândida: Gene expression programming
ISBN ISBN 978-3-540-32849-0
Klassifikation TBJ
MAT003000
*68T05
68W05
68-01
68U20
68Q10
UY
COM014000
519
004.0151
004
TA329-348
TA640-643
ST 300
Kurzbeschreibung 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.
2. Kurzbeschreibung Cândida 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. Cândida 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.
1. Schlagwortkette Gene expression programming
1. Schlagwortkette ANZEIGE DER KETTE Gene expression programming
2. Schlagwortkette Gene expression programming
ANZEIGE DER KETTE Gene expression programming
SWB-Titel-Idn 264360273
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/3-540-32849-1
Internetseite / Link Volltext
Siehe auch Volltext
Siehe auch Errata
Siehe auch Cover
Siehe auch Inhaltstext
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