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Titlebook: Cellular Neural Networks; Chaos, Complexity an Gabriele Manganaro,Paolo Arena,Luigi Fortuna Book 1999 Springer-Verlag Berlin Heidelberg 199

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書目名稱Cellular Neural Networks
副標(biāo)題Chaos, Complexity an
編輯Gabriele Manganaro,Paolo Arena,Luigi Fortuna
視頻videohttp://file.papertrans.cn/224/223049/223049.mp4
概述This book covers the whole spectrum of cellular neural networks..Examples, simulation results, and experimental results are complemented by theoretical discussions throughout the whole book..Includes
叢書名稱Springer Series in Advanced Microelectronics
圖書封面Titlebook: Cellular Neural Networks; Chaos, Complexity an Gabriele Manganaro,Paolo Arena,Luigi Fortuna Book 1999 Springer-Verlag Berlin Heidelberg 199
描述The field of cellular neural networks (CNNs) is of growing importance in non- linear circuits and systems and it is maturing to the point of becoming a new area of study in general nonlinear theory. CNNs emerged through two semi- nal papers co-authored by Professor Leon O. Chua back in 1988. Since then, the attention that CNNs have attracted in the scientific community has been vast. For instance, there are international workshops dedicated to CNNs and their applications, special issues published in both the International Journal of Circuit Theory and in the IEEE Transactions on Circuits and Systems, and there are also Associate Editors appointed in the latter journal especially for the CNN field. All of this bears witness the importance that CNNs are gaining within the scientific community. Without doubt this book is a primer in the field. Its extensive coverage provides the reader with a very comprehensive view of aspects involved in the theory and applications of cellular neural networks. The authors have done an excellent job merging basic CNN theory, synchronization, spatio- temporal phenomena and hardware implementation into eight exquisitely written chapters. Each chapter is
出版日期Book 1999
關(guān)鍵詞CMOS; VLSI; circuit; circuit design; communication; complexity; dynamical systems; neural networks; physiolo
版次1
doihttps://doi.org/10.1007/978-3-642-60044-9
isbn_softcover978-3-642-64232-6
isbn_ebook978-3-642-60044-9Series ISSN 1437-0387 Series E-ISSN 2197-6643
issn_series 1437-0387
copyrightSpringer-Verlag Berlin Heidelberg 1999
The information of publication is updating

書目名稱Cellular Neural Networks影響因子(影響力)




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




書目名稱Cellular Neural Networks網(wǎng)絡(luò)公開(kāi)度




書目名稱Cellular Neural Networks網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Cellular Neural Networks被引頻次




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




書目名稱Cellular Neural Networks年度引用




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




書目名稱Cellular Neural Networks讀者反饋




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




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1437-0387 theoretical discussions throughout the whole book..Includes The field of cellular neural networks (CNNs) is of growing importance in non- linear circuits and systems and it is maturing to the point of becoming a new area of study in general nonlinear theory. CNNs emerged through two semi- nal papers
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Rehabilitation of Spinal Cord Injuries,inspired by the architecture of the . [5,6] and the . [7,8]. Chua showed that his new architecture was able to efficiently perform timeconsuming tasks, such as image processing and partial differential equation solution, and it was suitable VLSI implementation.
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Synchronizationollow identical trajectories (asymptotically, at least). This is particularly interesting if the circuits behave in a chaotic way because of their sensitive dependence on initial conditions. However, if certain conditions are satisfied [104,105], then these circuits can be successfully synchronized.
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