9780792385554 - learning on silicon: adaptive vlsi neural systems (the springer international series in engineering and computer science, band 512) (5 Ergebnisse)
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Zustand: New. 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 pow.
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Zustand: New. Combines models of adaptive information processing in the brain with advances in microelectronics technology and circuit design. This book features five parts: adaptive sensory systems, neuromorphic learning, learning architectures, learning dynamics, and learning systems. It is intended as a reference for beginner…s and experienced researchers. Editor(s): Cauwenberghs, Gert; Bayoumi, Magdy A. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 426 pages, biography. BIC Classification: TJF; UY. Category: (P) Professional & Vocational; (XV) Technical / Manuals. Dimension: 235 x 155 x 25. Weight in Grams: 802. . 1999. Hardback. . . . . Books ship from the US and Ireland.
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Buch. Zustand: Neu. Neuware - 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 senso…ry perception and pattern recognition, but also capable of operating autonomously and robustly in unpredictable environments through mechanisms of adaptation and learning. This edited volume covers the spectrum of Learning on Silicon in five parts: adaptive sensory systems, neuromorphic learning, learning architectures, learning dynamics, and learning systems. The 18 chapters are documented with examples of fabricated systems, experimental results from silicon, and integrated applications ranging from adaptive optics to biomedical instrumentation. As the first comprehensive treatment on the subject, Learning on Silicon serves as a reference for beginners and experienced researchers alike. It provides excellent material for an advanced course, and a source of inspiration for continued research towards building intelligent adaptive machines.
