Special issue on analog implementations of cellular neural networks and analog VLSI

Analog Integrated Circuits and Signal Processing ◽

10.1007/bf00194912 ◽

1996 ◽

Vol 9 (3) ◽

Keyword(s):

Neural Networks ◽

Analog Vlsi ◽

Cellular Neural Networks ◽

Special Issue

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Analog VLSI Design Constraints of Programmable Cellular Neural Networks

Cellular Neural Networks and Analog VLSI ◽

10.1007/978-1-4757-4730-0_3 ◽

1998 ◽

pp. 27-38

Author(s):

Peter R. Kinget ◽

Michiel Steyaert

Keyword(s):

Neural Networks ◽

Vlsi Design ◽

Analog Vlsi ◽

Cellular Neural Networks ◽

Design Constraints

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Analog VLSI implementation of cellular neural networks

CNNA '92 Proceedings Second International Workshop on Cellular Neural Networks and Their Applications ◽

10.1109/cnna.1992.274340 ◽

2003 ◽

Cited By ~ 7

Author(s):

J.L. Huertas ◽

A. Rodriguez-Vasquez ◽

S. Espejo

Keyword(s):

Neural Networks ◽

Analog Vlsi ◽

Cellular Neural Networks ◽

Vlsi Implementation

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Cellular Neural Networks and Analog VLSI

10.1007/978-1-4757-4730-0 ◽

1998 ◽

Cited By ~ 2

Keyword(s):

Neural Networks ◽

Analog Vlsi ◽

Cellular Neural Networks

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Guest Editorial Special Issue On Bio-inspired Processors And Cellular Neural Networks For Vision

IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications ◽

10.1109/tcsi.1999.747188 ◽

1999 ◽

Vol 46 (2) ◽

pp. 226-228 ◽

Cited By ~ 3

Author(s):

A. Rodriguez-Vazquez ◽

T. Roska ◽

A. Andreou

Keyword(s):

Neural Networks ◽

Guest Editorial ◽

Cellular Neural Networks ◽

Special Issue ◽

Editorial Special Issue

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Analog VLSI design of cellular neural networks with annealing agility

Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) ◽

10.1109/cnna.1994.381644 ◽

2002 ◽

Cited By ~ 2

Author(s):

B.J. Sheu ◽

S.H. Bang ◽

Wai-Chi Fang

Keyword(s):

Neural Networks ◽

Vlsi Design ◽

Analog Vlsi ◽

Cellular Neural Networks

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GUEST EDITORIAL: SPECIAL ISSUE: CELLULAR NEURAL NETWORKS

International Journal of Circuit Theory and Applications ◽

10.1002/(sici)1097-007x(199601/02)24:1<3::aid-cta898>3.0.co;2-m ◽

1996 ◽

Vol 24 (1) ◽

pp. 3-5 ◽

Cited By ~ 1

Author(s):

JOOS VANDEWALLE ◽

TAMAS ROSKA

Keyword(s):

Neural Networks ◽

Guest Editorial ◽

Cellular Neural Networks ◽

Special Issue ◽

Editorial Special Issue

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Efficient algorithms for space image processing and their realization in cellular neural networks

Kosmìčna nauka ì tehnologìâ ◽

10.15407/knit1998.04.074 ◽

1998 ◽

Vol 4 (4) ◽

pp. 74-84

Author(s):

I.N. Aizenberg ◽

Keyword(s):

Neural Networks ◽

Image Processing ◽

Cellular Neural Networks ◽

Efficient Algorithms ◽

Space Image

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New results on pseudo almost periodic solutions of quaternion-valued fuzzy cellular neural networks with delays

Fuzzy Sets and Systems ◽

10.1016/j.fss.2020.03.016 ◽

2020 ◽

Cited By ~ 6

Author(s):

Changjin Xu ◽

Maoxin Liao ◽

Peiluan Li ◽

Zixin Liu ◽

Shuai Yuan

Keyword(s):

Neural Networks ◽

Periodic Solutions ◽

Cellular Neural Networks ◽

Fuzzy Cellular Neural Networks ◽

Almost Periodic Solutions ◽

Almost Periodic ◽

Pseudo Almost Periodic Solutions ◽

Pseudo Almost Periodic

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New Criteria on Stability of Dynamic Memristor Delayed Cellular Neural Networks

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.3031309 ◽

2020 ◽

pp. 1-13

Author(s):

Kun Deng ◽

Song Zhu ◽

Wei Dai ◽

Chunyu Yang ◽

Shiping Wen

Keyword(s):

Neural Networks ◽

Cellular Neural Networks ◽

New Criteria

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Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays

International Journal of Applied Mathematics and Computer Science ◽

10.2478/v10006-011-0051-9 ◽

2011 ◽

Vol 21 (4) ◽

pp. 649-658 ◽

Cited By ~ 6

Author(s):

Qianhong Zhang ◽

Lihui Yang ◽

Daixi Liao

Keyword(s):

Neural Networks ◽

Periodic Solution ◽

Exponential Stability ◽

Differential Inequality ◽

Sufficient Conditions ◽

Coincidence Degree ◽

Cellular Neural Networks ◽

Time Varying ◽

Fuzzy Cellular Neural Networks ◽

Inequality Technique

Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays Fuzzy cellular neural networks with time-varying delays are considered. Some sufficient conditions for the existence and exponential stability of periodic solutions are obtained by using the continuation theorem based on the coincidence degree and the differential inequality technique. The sufficient conditions are easy to use in pattern recognition and automatic control. Finally, an example is given to show the feasibility and effectiveness of our methods.

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