Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks (Studies in Computational Intelligence)
Taras Kowaliw (Ed.)
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Description for Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks (Studies in Computational Intelligence)
Hardcover. Editor(s): Kowaliw, Taras; Bredeche, Nicolas; Doursat, Rene. Series: Studies in Computational Intelligence. Num Pages: 261 pages, 68 black & white illustrations, 14 colour illustrations, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational. Dimension: 163 x 245 x 20. Weight in Grams: 544.
The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks. The book consists of ... Read more
The pursuit of artificial intelligence has been a highly active domain of research for decades, yielding exciting scientific insights and productive new technologies. In terms of generating intelligence, however, this pursuit has yielded only limited success. This book explores the hypothesis that adaptive growth is a means of moving forward. By emulating the biological process of development, we can incorporate desirable characteristics of natural neural systems into engineered designs and thus move closer towards the creation of brain-like systems. The particular focus is on how to design artificial neural networks for engineering tasks. The book consists of ... Read more
Product Details
Publisher
Springer
Format
Hardback
Publication date
2014
Series
Studies in Computational Intelligence
Condition
New
Number of Pages
261
Place of Publication
Berlin, Germany
ISBN
9783642553363
SKU
V9783642553363
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks (Studies in Computational Intelligence)
This book considers the importance of biological plausibility in artificial neural networks (ANNs). ... the book is recommended for those who want to know more about ANNs and their biologically inspired architectures, especially those related to learning. (Joao Luis G. Rosa, Computing Reviews, March, 2015)