Self-Organising Neural Networks: Independent Component Analysis and Blind Source Separation (Perspectives in Neural Computing).

Girolami, Mark:

ISBN 10: 185233066X / ISBN 13: 9781852330668

Published by Springer, 1999

About this Item

284 p. In very good condition. ISBN: 9781852330668 Sprache: Englisch Gewicht in Gramm: 437 15,5 x 1,6 x 23,5 cm, softcover.

Seller Inventory # 59660

Bibliographic Details

• Title: Self-Organising Neural Networks: Independent Component Analysis and Blind Source Separation (Perspectives in Neural Computing).
• Publisher: Springer
• Publication Date: 1999
• Language: English
• ISBN 10: 185233066X
• ISBN 13: 9781852330668
• Binding: Soft cover
• Condition: Sehr gut
• Weight: 437 grams
• Seller catalogs:
  • Informatik, Hardware, Software

About this title

Synopsis

The conception of fresh ideas and the development of new techniques for Blind Source Separation and Independent Component Analysis have been rapid in recent years. It is also encouraging, from the perspective of the many scientists involved in this fascinating area of research, to witness the growing list of successful applications of these methods to a diverse range of practical everyday problems. This growth has been due, in part, to the number of promising young and enthusiastic researchers who have committed their efforts to expanding the current body of knowledge within this field of research. The author of this book is among one of their number. I trust that the present book by Dr. Mark Girolami will provide a rapid and effective means of communicating some of these new ideas to a wide international audience and that in turn this will expand further the growth of knowledge. In my opinion this book makes an important contribution to the theory of Independent Component Analysis and Blind Source Separation. This opens a range of exciting methods, techniques and algorithms for applied researchers and practitioner engineers, especially from the perspective of artificial neural networks and information theory. It has been interesting to see how rapidly the scientific literature in this area has grown.

Product Description

Self-organising Neural Networks This volume presents the theory and applications of self organizing neural network models which perform the independent component analysis (ICA) transformation and blind source separation (BSS).