A GA-Based Feature Extraction and Its Application

In order to obtain an explicit and non-linear regress function, a new feature extraction was presented on the basis of linear support vector regression and genetic algorithm. Firstly, the linear input space in training data was mapped to a polynomial space, which can solve non-linear regression ques...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Yu Zhefu, Lu Huibiao, Chuanying, J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Data mining Educational institutions explicit Feature extraction Genetic Algorithm Genetic algorithms Genetic engineering Logistics nonlinear Polynomials Regress Function Support Vector Regression Training data Ubiquitous computing Vectors
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!