Advances in Neural Networks - ISNN 2006
Editat de Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Yin Hujunen Limba Engleză Paperback – 12 mai 2006
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|---|---|---|
| Paperback (2) | 774.86 lei 38-44 zile | |
| Springer – 12 mai 2006 | 774.86 lei 38-44 zile | |
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Specificații
ISBN-13: 9783540344377
ISBN-10: 3540344373
Pagini: 1512
Ilustrații: LVI, 1443 p. In 2 volumes, not available separately.
Dimensiuni: 155 x 235 x 81 mm
Greutate: 2.25 kg
Ediția:2006
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540344373
Pagini: 1512
Ilustrații: LVI, 1443 p. In 2 volumes, not available separately.
Dimensiuni: 155 x 235 x 81 mm
Greutate: 2.25 kg
Ediția:2006
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Pattern Classification.- Computer Vision.- Image Processing.- Signal Processing.- System Modeling.- Control Systems.- Robotic Systems.- Power Systems.
Recenzii
From the reviews:
"It addresses the domain of artificial Intelligence (AI) and presents state-of-the-art research, development, and education in the field. … a useful resource for scientists and educators interested in the field of NN systems … . gives the reader a sense of the applications and challenges of the filed, and provides an extensive bibliography for further investigation. … The collection offers a broad perspective on a topic that is widely discussed and underlines many of its applications. This makes it highly recommendable to the AI community." (M. Caramihai, Computing Reviews, December, 2006)
"It addresses the domain of artificial Intelligence (AI) and presents state-of-the-art research, development, and education in the field. … a useful resource for scientists and educators interested in the field of NN systems … . gives the reader a sense of the applications and challenges of the filed, and provides an extensive bibliography for further investigation. … The collection offers a broad perspective on a topic that is widely discussed and underlines many of its applications. This makes it highly recommendable to the AI community." (M. Caramihai, Computing Reviews, December, 2006)