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

FERN

書目名稱Cellular Neural Networks and Analog VLSI影響因子(影響力)




書目名稱Cellular Neural Networks and Analog VLSI影響因子(影響力)學(xué)科排名




書目名稱Cellular Neural Networks and Analog VLSI網(wǎng)絡(luò)公開度




書目名稱Cellular Neural Networks and Analog VLSI網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Cellular Neural Networks and Analog VLSI被引頻次




書目名稱Cellular Neural Networks and Analog VLSI被引頻次學(xué)科排名




書目名稱Cellular Neural Networks and Analog VLSI年度引用




書目名稱Cellular Neural Networks and Analog VLSI年度引用學(xué)科排名




書目名稱Cellular Neural Networks and Analog VLSI讀者反饋




書目名稱Cellular Neural Networks and Analog VLSI讀者反饋學(xué)科排名

慎重

extinguish

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

Laconic

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

Negligible

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.

essential-fats

essential-fats

匍匐前進(jìn)

aneurysm

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.

Carcinogenesis