標(biāo)題: Titlebook: Cellular Neural Networks and Analog VLSI; Leon O. Chua,Glenn Gulak,Angel Rodríguez-Vázquez Book 1998 Springer Science+Business Media New Y [打印本頁(yè)] 作者: FERN 時(shí)間: 2025-3-21 18:20
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(kāi)度
書目名稱Cellular Neural Networks and Analog VLSI網(wǎng)絡(luò)公開(kāi)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
作者: 慎重 時(shí)間: 2025-3-21 23:43 作者: extinguish 時(shí)間: 2025-3-22 04:14
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作者: Laconic 時(shí)間: 2025-3-22 07:18
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作者: Negligible 時(shí)間: 2025-3-22 10:35
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.作者: essential-fats 時(shí)間: 2025-3-22 15:33 作者: essential-fats 時(shí)間: 2025-3-22 19:03 作者: 匍匐前進(jìn) 時(shí)間: 2025-3-22 22:11 作者: aneurysm 時(shí)間: 2025-3-23 05:20
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.作者: Carcinogenesis 時(shí)間: 2025-3-23 05:37 作者: 聚集 時(shí)間: 2025-3-23 09:45 作者: FAWN 時(shí)間: 2025-3-23 15:04 作者: 晚來(lái)的提名 時(shí)間: 2025-3-23 18:56 作者: Yourself 時(shí)間: 2025-3-23 22:36 作者: Presbyopia 時(shí)間: 2025-3-24 05:47
Analog VLSI Design Constraints of Programmable Cellular Neural Networks,ssing tasks. The robust design of analog VLSI requires a good understanding of the capabilities as well as the limitations of analog signal processing. Implementation-oriented theoretical methods are described to compute the effect of all types circuit non-idealities with random or systematic causes作者: Confound 時(shí)間: 2025-3-24 08:13
Focal-Plane and Multiple Chip VLSI Approaches to CNNs,ks: a programmable low-power CNN with embedded photosensors, a compact fixed-template CNN based on unipolar current-mode signals, and basic CMOS circuits to implement an extended CNN model using spikes. The first two VLSI approaches are intended for focal-plane image processing applications. The thi作者: babble 時(shí)間: 2025-3-24 14:25 作者: judicial 時(shí)間: 2025-3-24 15:42
Analog VLSI Circuits for Competitive Learning Networks,al circuits for competitive learning are currently important for their applications in computationally-efficient speech and image compression by vector quantization, as required for example in portable multi-media terminals. A summary of competitive learning models is presented to indicate the type 作者: 值得 時(shí)間: 2025-3-24 20:34
Design of Neural Networks Based on Wave-Parallel Computing Technique,enting neural networks. The fundamental concepts are the frequency multiplexing of signals on a single line, and their wave-parallel processing without decomposition. This paper discusses the realization of a Hopfield-type massively-connected neural network, and shows that the WPC-based network exhi作者: ineluctable 時(shí)間: 2025-3-25 02:34
oving area. ..Cellular Neural Networks and Analog VLSI. serves as an excellentreference, providing insight into some of the most challengingresearch issues in the field.978-1-4419-5030-7978-1-4757-4730-0作者: commodity 時(shí)間: 2025-3-25 03:33
Book 1998.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.作者: 留戀 時(shí)間: 2025-3-25 09:06
https://doi.org/10.1007/978-1-4757-4730-0Signal; VLSI; analog; computer; network; networks; neural networks作者: 獎(jiǎng)牌 時(shí)間: 2025-3-25 13:49
978-1-4419-5030-7Springer Science+Business Media New York 1998作者: Genetics 時(shí)間: 2025-3-25 18:27
Components for Optical Fiber Systems,This paper presents a 16 × 16 Cellular Neural Network Universal Chip with analog input and output ports, which can read in and process gray-scale images in the analog domain. The chip contains about 5,000 analog multipliers and has been fabricated in a 0.8 .m CMOS process.作者: 小卒 時(shí)間: 2025-3-25 20:31 作者: 儀式 時(shí)間: 2025-3-26 02:59 作者: THE 時(shí)間: 2025-3-26 08:04
https://doi.org/10.1007/978-3-540-38502-8a VLSI realization of the multi-chip oriented, the 6 × 6 Digitally Programmable Cellular Neural Network (6 × 6DPCNN) chip, will be presented. This chip covers most of the available one-neighbourhood templates for image processing applications. Moreover, it can be easily interconnected to others to c作者: GRE 時(shí)間: 2025-3-26 09:14 作者: 公式 時(shí)間: 2025-3-26 14:59 作者: Multiple 時(shí)間: 2025-3-26 17:30 作者: Perceive 時(shí)間: 2025-3-27 00:21 作者: Outmoded 時(shí)間: 2025-3-27 05:09
J. J. Koenderink,A. J. van Doornenting neural networks. The fundamental concepts are the frequency multiplexing of signals on a single line, and their wave-parallel processing without decomposition. This paper discusses the realization of a Hopfield-type massively-connected neural network, and shows that the WPC-based network exhi作者: Oscillate 時(shí)間: 2025-3-27 07:48
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