Titlebook: Neural Information Processing and VLSI; Bing J. Sheu,Joongho Choi Book 1995 Springer Science+Business Media New York 1995 CMOS.Routing.Sig

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書目名稱Neural Information Processing and VLSI影響因子(影響力)




書目名稱Neural Information Processing and VLSI影響因子(影響力)學(xué)科排名




書目名稱Neural Information Processing and VLSI網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing and VLSI網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Information Processing and VLSI被引頻次




書目名稱Neural Information Processing and VLSI被引頻次學(xué)科排名




書目名稱Neural Information Processing and VLSI年度引用




書目名稱Neural Information Processing and VLSI年度引用學(xué)科排名




書目名稱Neural Information Processing and VLSI讀者反饋




書目名稱Neural Information Processing and VLSI讀者反饋學(xué)科排名

microscopic

發(fā)現(xiàn)

爭吵

糾纏

Introduction instances used as training examples. Neural networks are being widely adopted for use in a variety of industrial, scientific, and commercial applications which range from pattern recognition, optimization, to resource scheduling.

Armada

Biologically-Inspired Vision Processingnt algorithms have been developed in hardware implementation of the early vision system. Image acquisition and the . smoothing for noise removal can be performed in a silicon retina chip. The . processing is the next step which emphasizes some important properties of the image such as the edge-detection and motion-detection processing.

nerve-sparing

Digital VLSI Neuroprocessorshe Ni10000 chip is based on a dedicated-learning architecture, the radial basis function (RBF) network. In addition, other types of digital VLSI neural network implementations are presented with special emphasis on their unique characteristics.

隨意

Self-Organization Neural Networks network. In the competitive learning layer of a self-organized neural network, the winner-take-all (WTA) operation is executed as lateral inhibition operation. In this operation, the node with the largest output value is selected as the winning node and it inhibits all other nodes.

doxazosin

Photonic Neural Networksa 2-dimensional Fourier transformation by the first lens and brought to its focal point. The transformed result actually undergoes a reverse Fourier transform by the second lens so that the final result is reversed left-to-right and top-to-bottom.

Oafishness