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Titlebook: Cellular Neural Networks and Analog VLSI; Leon O. Chua,Glenn Gulak,Angel Rodríguez-Vázquez Book 1998 Springer Science+Business Media New Y

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書目名稱Cellular Neural Networks and Analog VLSI
編輯Leon O. Chua,Glenn Gulak,Angel Rodríguez-Vázquez
視頻videohttp://file.papertrans.cn/224/223050/223050.mp4
圖書封面Titlebook: Cellular Neural Networks and Analog VLSI;  Leon O. Chua,Glenn Gulak,Angel Rodríguez-Vázquez Book 1998 Springer Science+Business Media New Y
描述.Cellular Neural Networks and Analog VLSI. brings togetherin one place important contributions and up-to-date research resultsin this fast moving area. ..Cellular Neural Networks and Analog VLSI. serves as an excellentreference, providing insight into some of the most challengingresearch issues in the field.
出版日期Book 1998
關鍵詞Signal; VLSI; analog; computer; network; networks; neural networks
版次1
doihttps://doi.org/10.1007/978-1-4757-4730-0
isbn_softcover978-1-4419-5030-7
isbn_ebook978-1-4757-4730-0
copyrightSpringer Science+Business Media New York 1998
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Aloysius G. M. Tielens,Jaap J. Van Hellemondyond 1Gbps if it is implemented in the same amount of silicon area by using 0.5. CMOS technology. Such promising results clearly demonstrate the ability to meet the needs in future high speed data communication by VLSI realization of maximum likelihood sequence detectors based on the enhanced cellul
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J. J. Koenderink,A. J. van Doornresults are also presented from simulations of frequency-sensitive and soft competitive learning concerning sensitivity of these algorithms to precision in VLSI learning computations. Applications of these learning algorithms to unsupervised feature extraction and to vector quantization of speech an
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William F. Martin,Miklós Müller mismatch on the trade-off between the speed, accuracy and power performance of CNN chips is demonstrated. A design methodology taking into account the effect of transistor mismatch is proposed and experimental results of a CNN chip implementation designed with this method are discussed.
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Origin of Mitochondria and Hydrogenosomesrd one allows, since its dynamics is defined by process-independent local ratios and its input/outputs can be efficiently multiplexed in time, the construction of very large multiple chip CNNs for more complex vision tasks.
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