Intelligent Techniques for Data Modeling Problems: Nature inspired meta-heuristics and learning models applied to time series modeling and forecasting - Couverture souple

Băutu, Elena

 
9783848434794: Intelligent Techniques for Data Modeling Problems: Nature inspired meta-heuristics and learning models applied to time series modeling and forecasting
Couverture souple
ISBN 10 : 3848434792 ISBN 13 : 9783848434794
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Supervised learning deals with the problem of discovering models from data as relationships between input and output attributes. Two types of models are distinguished: regression models (for continuous output attributes) and classification models (for discrete output attributes). This thesis addresses both regression and classification problems with an emphasis on new applications and on presenting improved evolutionary techniques. Such techniques include Gene Expression Programming (classical and its adaptive version), Genetic Programming, and the hypernetwork model of learning (classical and its evolutionary version). Such methods can be successfully applied to many problems from various domains. This thesis presents applications for symbolic regression for inverse problems, quantum circuit design, modeling of dynamic processes, and forecasting price movement.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3848434792
ISBN 13 
9783848434794
Reliure
Broché
Nombre de pages
224
Coordonnées du fabricant
non disponible
Personne responsable
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