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Girolami, Mark. Ed(S): Girolami, Mark - Self-organising Neural Networks - 9781852330668 - V9781852330668
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Self-organising Neural Networks

€ 121.84
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Description for Self-organising Neural Networks Paperback. 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). Editor(s): Girolami, Mark. Series: Perspectives in Neural Computing. Num Pages: 271 pages, 9 black & white illustrations, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 15. Weight in Grams: 402.
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 ... Read more

Product Details

Format
Paperback
Publication date
1999
Publisher
Springer London Ltd United Kingdom
Number of pages
271
Condition
New
Series
Perspectives in Neural Computing
Number of Pages
271
Place of Publication
England, United Kingdom
ISBN
9781852330668
SKU
V9781852330668
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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