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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書(shū)目名稱Adaptive Analog VLSI Neural Systems影響因子(影響力)




書(shū)目名稱Adaptive Analog VLSI Neural Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱Adaptive Analog VLSI Neural Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Adaptive Analog VLSI Neural Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Adaptive Analog VLSI Neural Systems被引頻次




書(shū)目名稱Adaptive Analog VLSI Neural Systems被引頻次學(xué)科排名




書(shū)目名稱Adaptive Analog VLSI Neural Systems年度引用




書(shū)目名稱Adaptive Analog VLSI Neural Systems年度引用學(xué)科排名




書(shū)目名稱Adaptive Analog VLSI Neural Systems讀者反饋




書(shū)目名稱Adaptive Analog VLSI Neural Systems讀者反饋學(xué)科排名

貪婪性

978-0-412-61630-3Springer Science+Business Media Dordrecht 1996

作嘔

LAVA

Gislayne T. Vilas-B?as,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.

PANT

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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無(wú)關(guān)緊要

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

債務(wù)

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 ‘a(chǎn)lphabet’ of basic shapes. This provides a compact representation of the image content that is well suited for interpretation. Objects