[PDF.19mv] Learning on Silicon: Adaptive VLSI Neural Systems (The Springer International Series in Engineering and Computer Science)

Learning on Silicon: Adaptive VLSI Neural Systems (The Springer International Series in Engineering and Computer Science)

[PDF.hk28] Learning on Silicon: Adaptive VLSI Neural Systems (The Springer International Series in Engineering and Computer Science)

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 | #5405474 in Books |  Springer |  1999-06-30 | Original language:English | PDF # 1 |  9.21 x1.00 x6.14l,1.76 | File type: PDF | 426 pages

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|| |` This is an excellent book which takes the reader from the physical basis of learning on silicon to algorithms and architectures. The contributed chapters are authoritatively written and the material is well organized, strongly recommended to

Learning on Silicon combines models of adaptive information processing in the brain with advances in microelectronics technology and circuit design. The premise is to construct integrated systems not only loaded with sufficient computational power to handle demanding signal processing tasks in sensory perception and pattern recognition, but also capable of operating autonomously and robustly in unpredictable environments through mechanisms of adaptation and lear...

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