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Combining Artificial Neural Nets
Amanda J.C. . Ed(S): Sharkey
€ 127.97
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Description for Combining Artificial Neural Nets
Paperback. Editor(s): Sharkey, Amanda J.C. Series: Perspectives in Neural Computing. Num Pages: 313 pages, 6 black & white illustrations, biography. BIC Classification: UYQN. Category: (G) General (US: Trade). Dimension: 234 x 156 x 16. Weight in Grams: 445.
The past decade could be seen as the heyday of neurocomputing: in which the capabilities of monolithic nets have been well explored and exploited. The question then is where do we go from here? A logical next step is to examine the potential offered by combinations of artificial neural nets, and it is that step that the chapters in this volume represent. Intuitively, it makes sense to look at combining ANNs. Clearly complex biological systems and brains rely on modularity. Similarly the principles of modularity, and of reliability through redundancy, can be found in many disparate areas, from the idea ... Read more
The past decade could be seen as the heyday of neurocomputing: in which the capabilities of monolithic nets have been well explored and exploited. The question then is where do we go from here? A logical next step is to examine the potential offered by combinations of artificial neural nets, and it is that step that the chapters in this volume represent. Intuitively, it makes sense to look at combining ANNs. Clearly complex biological systems and brains rely on modularity. Similarly the principles of modularity, and of reliability through redundancy, can be found in many disparate areas, from the idea ... Read more
Product Details
Format
Paperback
Publication date
1999
Publisher
Springer London Ltd United Kingdom
Number of pages
313
Condition
New
Series
Perspectives in Neural Computing
Number of Pages
298
Place of Publication
England, United Kingdom
ISBN
9781852330040
SKU
V9781852330040
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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