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Titlebook: Cellular Neural Networks; Analysis, Design and Martin Hänggi,George S. Moschytz Book 2000 Springer Science+Business Media Dordrecht 2000 Ha

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书目名称Cellular Neural Networks
副标题Analysis, Design and
编辑Martin Hänggi,George S. Moschytz
视频video
图书封面Titlebook: Cellular Neural Networks; Analysis, Design and Martin Hänggi,George S. Moschytz Book 2000 Springer Science+Business Media Dordrecht 2000 Ha
描述Cellular Neural Networks (CNNs) constitute a class ofnonlinear, recurrent and locally coupled arrays of identical dynamicalcells that operate in parallel. ANALOG chips are being developed foruse in applications where sophisticated signal processing at low powerconsumption is required. .Signal processing via CNNs only becomes efficient if the network isimplemented in analog hardware. In view of the physical limitationsthat analog implementations entail, robust operation of a CNN chipwith respect to parameter variations has to be insured. By far not allmathematically possible CNN tasks can be carried out reliably on ananalog chip; some of them are inherently too sensitive. This bookdefines a robustness measure to quantify the degree of robustness andproposes an exact and direct analytical design method for thesynthesis of optimally robust network parameters. The method is basedon a design centering technique which is generally applicable wherelinear constraints have to be satisfied in an optimum way. .Processing speed is always crucial when discussing signal-processingdevices. In the case of the CNN, it is shown that the setting time canbe specified in closed analytical expressions,
出版日期Book 2000
关键词Hardware; Signal; Standard; algorithms; analog; circuit; circuit design; consumption; learning; network; neura
版次1
doihttps://doi.org/10.1007/978-1-4757-3220-7
isbn_softcover978-1-4419-4988-2
isbn_ebook978-1-4757-3220-7
copyrightSpringer Science+Business Media Dordrecht 2000
The information of publication is updating

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The Rehabilitation Process, ICIDH vs ICF, system, the processing speed is defined by its ., i.e., the time it takes the system to reach its equilibrium state. In this chapter, the settling time of locally regular CNNs is defined and investigated.
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The Rehabilitation Process, ICIDH vs ICF,ying network is available. Beside significant advantages of CNN chips over digital hardware such as processing speed, small size, and power consumption there is one severe drawback, namely their relatively poor accuracy. Robust operation can only be guaranteed for ., which makes local regularity a k
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Unification of Continuous- and Discrete-Time CNNS,Discrete-time CNNs (DTCNNs) have been considered along with continuous-time CNNs (CTCNNs) both in terms of theory [45] and implementation as sampled-data systems [46]. The most common DTCNN is described by ..
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