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Books > Computing & IT > General theory of computing
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Learning on Silicon - Adaptive VLSI Neural Systems (Hardcover, 1999 ed.)
Loot Price: R4,464
Discovery Miles 44 640
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Learning on Silicon - Adaptive VLSI Neural Systems (Hardcover, 1999 ed.)
Series: The Springer International Series in Engineering and Computer Science, 512
Expected to ship within 12 - 17 working days
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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 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.
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