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Ivan Nunes da Silva - Artificial Neural Networks: A Practical Course - 9783319431611 - V9783319431611
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Artificial Neural Networks: A Practical Course

€ 133.68
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Description for Artificial Neural Networks: A Practical Course Hardback. Num Pages: 327 pages, 190 black & white illustrations, 13 colour illustrations, 14 colour tables, biography. BIC Classification: PBWH; TJK; UNF; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 654.
This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios. The second half is designed specifically for the production of solutions using artificial neural networks to solve practical problems arising from different areas of knowledge. It also describes the various implementation details that were taken into account to achieve the reported results. These aspects contribute to the maturation and improvement of experimental ... Read more

Product Details

Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2016
Condition
New
Number of Pages
307
Place of Publication
Cham, Switzerland
ISBN
9783319431611
SKU
V9783319431611
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Ivan Nunes da Silva
IVAN NUNES DA SILVA was born in São José do Rio Preto, Brazil, in 1967. He graduated in computer science and electrical engineering at the Federal University of Uberlândia, Brazil, in 1991 and 1992, respectively. He received both M.Sc. and Ph.D. degrees in electrical engineering from the State University of Campinas (UNICAMP), Brazil, in 1995 and 1997, respectively. Currently, he ... Read more

Reviews for Artificial Neural Networks: A Practical Course
“The book under review is quite unique, covering many important topics usually omitted from introductory courses on artificial neural networks, and as such it is a valuable reference. … A major advantage of this volume is the interesting choice of examples used, most of which are not commonly considered in the artificial neural network literature.” (Sandro Skansi, Mathematical Reviews, April, ... Read more

Goodreads reviews for Artificial Neural Networks: A Practical Course


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