Clustering and Neural Network Approaches for General NN-Simulator: K-means, K-mediods, Recurrent Backpropagation,and Artificial Neural Network Simulator - Couverture souple

Srivastava, Chandan

Couverture souple

ISBN 10 : 3845409428 ISBN 13 : 9783845409429

Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Clustering and Neural Network Approaches for General NN-Simulator This book is based on the basis that clustering and neural networks methods. The clustering algorithms (k-means, and k-medoids) are describe the analysis on noise data i.e. preclassification for robust model development. The better choice of cluster are forming by Euclidean statistical clustering algorithms, are able to preclassified data into significant groups. We assume that both methods are better predicted on different example in real analysis.The recurrent backpropagation is one of the best optimization techniques for minimizing the error and achieve the best optimal result. Since we have input unit, output unit, and eventually hidden unit; we could sa...

A propos du livre

Présentation de l'éditeur

This book is based on the basis that clustering and neural networks methods. The clustering algorithms (k-means, and k-medoids) are describe the analysis on noise data i.e. preclassification for robust model development. The better choice of cluster are forming by Euclidean statistical clustering algorithms, are able to preclassified data into significant groups. We assume that both methods are better predicted on different example in real analysis. The recurrent backpropagation is one of the best optimization techniques for minimizing the error and achieve the best optimal result. Since we have input unit, output unit, and eventually hidden unit; we could say that this is supervised optimization learning process. The optimization process to minimizing the error and get the activated network till that all weight of the network are going to reach equilibrium state). This process usually take more time because every output of network add-up with input again and train network (weight) to reach the equilibrium state (optimal solution).Reported results and graphical user interface (GUI) snapshot, showing algorithms are integrated well in software package (simulator).

Biographie de l'auteur

Chandan Srivastava is doctoral research fellow at Departament de Enginyeria Química, Universitat Rovira i Virgili, Tarragona, Spain. He did his master research project at the Department of Electrical Engineering, Indian Institute of Technology, Kanpur, India. His area of research includes Bioinformatics and computational environmental engineering.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2011
• Langue: anglais
• ISBN 10: 3845409428
• ISBN 13: 9783845409429
• Reliure: Broché
• Nombre de pages: 68
• Coordonnées du fabricant: non disponible
• Personne responsable: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Allemagne