Results 251 to 260 of about 4,958,442 (285)
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DESIGN AND LEARNING WITH CELLULAR NEURAL NETWORKS
International Journal of Circuit Theory and Applications, 1996The template coefficients (weights) of a CNN which will give a desired performance, can either be found by design or by learning. ’By design‘ means that the desired function to be performed can be translated into a set of local dynamic rules, while ’by learning‘ is based exclusively on pairs of input and corresponding output signals, the relationship ...
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CELLULAR NEURAL NETWORKS AND VISUAL COMPUTING
International Journal of Bifurcation and Chaos, 2003Brain-like information processing has become a challenge to modern computer science and chip technology. The CNN (Cellular Neural Network) Universal Chip is the first fully programmable industrial-sized brain-like stored-program dynamic array computer which dates back to an invention of Leon O. Chua and Lin Yang in Berkeley in 1988.
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On the dynamic behavior of cellular neural networks
Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290), 2003Cellular neural networks (CNNs) are analog dynamic processors that have found several applications for the solution of complex computational problems. The mathematical model of a CNN consists in a large set of coupled nonlinear differential equations that have been mainly studied through numerical simulations; the knowledge of the dynamic behavior is ...
GILLI, MARCO +3 more
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Cooperative and competitive cellular neural networks
ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349), 2003The cooperative and competitive networks proposed by Amari and Arbib are a mathematical model for the winner-take-all process. If this network is implemented by realistic circuit elements, there are many problems. In this paper, we propose cooperative and competitive cellular neural networks by extending the Amari-Arbib model to achieve low power ...
Masashi Mori +2 more
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Spatial disorder of Cellular Neural Networks
Japan Journal of Industrial and Applied Mathematics, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hsu, Cheng-Hsiung, Lin, Song-Sun
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Digital implementation of cellular neural networks
2008 15th IEEE International Conference on Electronics, Circuits and Systems, 2008This paper presents a digital cellular neural network (CNN) for digital image processing applications. The CNN is a relatively new field in this research, making use of a high degree of parallelism to achieve higher levels of processing power which continuously paves new ways of how problems can be tackled. A digital architecture is employed due to the
Ryan Grech +3 more
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A programmable cellular neural network circuit
Proceedings of the 17th symposium on Integrated circuits and system design, 2004In this paper, we propose and develop a fully programmable CNN circuit. The CNN coefficients are digitally programmable using a digital to analog converter (DAC), resulting in added flexibility. CNNs with 4/spl times/4 and 16/spl times/16 cells are designed and tested, exhibiting good accuracy when compared with Matlab and Java applications for ...
Michel Leong +3 more
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Testability in analogue cellular neural networks
International Journal of Circuit Theory and Applications, 1992AbstractThis paper addresses the problem of testing an ACNN by postulating the need for including some extra hardware to render feasible a postfabrication test. the work presented here deals with a test methodology based on adding some extra circuitry to every cell of a regular ACNN.
Adoración Rueda, José L. Huertas
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Spatially distributed cellular neural networks
International Journal of Intelligent Computing and Cybernetics, 2011PurposeThe purpose of this paper is to develop a methodology for the design of cellular neural networks with interconnection topologies optimized and suitable for spatially distributed implementation.Design/methodology/approachThe authors perform combinatorial optimization on the neural network's topology to obtain a sparser network, in which the links
Varsha Bhambhani +2 more
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Cellular neural networks for associative memories
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1993A synthesis procedure for designing nonsymmetric cellular neural networks (CNN) with a predetermined local interconnection structure that will store a set of desired bipolar vectors as memory points is presented. A specific case of constructing Chinese characters is presented to demonstrate the applicability of the results. Simulation results show that
Liu, Derong, Michel, Anthony N.
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