Andere Kunden interessierten sich auch für
![Regroupement traditionnel et basé sur Map-Reduce pour les grands ensembles de données]( "Regroupement traditionnel et basé sur Map-Reduce pour les grands ensembles de données")
Regroupement traditionnel et basé sur Map-Reduce pour les grands ensembles de données40,99 €![Un mécanisme efficace pour l'exploration de données basé sur des ensembles d'éléments Caractéristiques]( "Un mécanisme efficace pour l'exploration de données basé sur des ensembles d'éléments Caractéristiques")
Un mécanisme efficace pour l'exploration de données basé sur des ensembles d'éléments Caractéristiques46,99 €![Fusion Methods for Unsupervised Learning Ensembles]( "Fusion Methods for Unsupervised Learning Ensembles")
Fusion Methods for Unsupervised Learning Ensembles74,99 €![Exploration de grands ensembles de motifs]( "Exploration de grands ensembles de motifs")
Exploration de grands ensembles de motifs38,99 €![Methods for recognizing multispectral images based on neural networks]( "Methods for recognizing multispectral images based on neural networks")
Methods for recognizing multispectral images based on neural networks40,99 €![Spiking Neural Networks]( "Spiking Neural Networks")
Spiking Neural Networks38,99 €![Predictive Artificial Neural Networks]( "Predictive Artificial Neural Networks")
Predictive Artificial Neural Networks51,99 €
Artificial neural network is designed with the goal of building intelligent machines to solve complex perceptual problems, such as pattern classification, by mimicking the networks of real neurons in the human brain. To achieve better performance over a single neural network, ensembles construction with several neural networks has become a nutritious filed of research. This book presents the basics of ensemble construction and discusses several existing ensemble methods. A large number of benchmark problems from different application domains were considered for evaluating the methods. After the discussion of the existing methods three new different techniques of ensemble constructions are explained in three different chapters. Last two chapters of this book are to discuss the new techniques on a common ground and draw the conclusions of this work together with the outline of future directions of research opened by this work.