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Titlebook: Adaptive Analog VLSI Neural Systems; M. A. Jabri,R. J. Coggins,B. G. Flower Book 1996 Springer Science+Business Media Dordrecht 1996 Diac.

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期刊全称Adaptive Analog VLSI Neural Systems
影响因子2023M. A. Jabri,R. J. Coggins,B. G. Flower
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图书封面Titlebook: Adaptive Analog VLSI Neural Systems;  M. A. Jabri,R. J. Coggins,B. G. Flower Book 1996 Springer Science+Business Media Dordrecht 1996 Diac.
影响因子.Adaptive Analog VLSI Neural Systems. is the first practical book on neural networks learning chips and systems. It covers the entire process of implementing neural networks in VLSI chips, beginning with the crucial issues of learning algorithms in an analog framework and limited precision effects, and giving actual case studies of working systems.. The approach is systems and applications oriented throughout, demonstrating the attractiveness of such an approach for applications such as adaptive pattern recognition and optical character recognition.. Dr Jabri and his co-authors from AT&T Bell Laboratories, Bellcore and the University of Sydney provide a comprehensive introduction  to VLSI neural networks suitable for research and development staff and advanced students..
Pindex Book 1996
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发表于 2025-3-21 20:22:23 | 显示全部楼层
978-0-412-61630-3Springer Science+Business Media Dordrecht 1996
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Gislayne T. Vilas-Bôas,Clelton A. Santosthe reader seeking an abstract and simple introduction to neural computing architectures and learning algorithms.We first describe a basic neural computing framework, and then review the perceptron, multi-layer perceptron, and associated learning algorithms.
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Maria Helena Neves Lobo Silva-Filhain the direct implementation of neural networks has come at a time when MOS technology, and CMOS in particular, has become the preferred choice for VLSI. NN’s share with large logic systems the requirements for a very low power dissipation per basic function, a high physical packing density and a ca
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The Cyriax contribution to manipulation) [Widrow and Lehr (1990)] and stochastic gradient descent algorithms such as Summed Weight Neuron Perturbation (SWNP) [Flower and Jabri (1993a)], Stochastic Error Descent (SED) [Cauwenberghs (1993)] or Parallel Gradient Descent [Alspector, Meir, Yuhas, Jayakumar, Lippe (1992)], belong to a class of
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Brian A. Shaw,Nicholas E. Arlasasuring basic characteristics, for example edges of various orientations, strokes of various thicknesses, end-lines, etc., in order to describe its content with an ‘alphabet’ of basic shapes. This provides a compact representation of the image content that is well suited for interpretation. Objects
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