Gene Expression Programming : Mathematical Modeling by an Artificial Intelligence
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 themselve...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 2nd ed. 2006. |
| Serier: | Studies in Computational Intelligence
21 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Gene Expression Programming, Texte imprimé, 9783540327967 • Gene Expression Programming, Texte imprimé, 9783642069321 • Gene Expression Programming, Texte imprimé, 9783540821380 • Gene Expression Programming, Texte imprimé, 9783540327967 • Gene Expression Programming, Texte imprimé, 9783662601877 |
Indholdsfortegnelse:
- 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