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An artificial immune system for visual applications with CNN-UMCSERQY, Gy; FALUS, A; POROD, W et al.IEEE International Symposium on Circuits and Systems. 2004, pp 17-20, isbn 0-7803-8251-X, 4 p.Conference Paper

CNN technology (part 2)ROSKA, Tamás; ARENA, Paolo; REKECZKY, Csaba et al.International journal of circuit theory and applications. 2006, Vol 34, Num 4, issn 0098-9886, 176 p.Serial Issue

Investigation of phase-wave propagation phenomena in second order CNN arraysYANG, Z; TSURUTA, K; NISHIO, Y et al.IEEE International Symposium on Circuits and Systems. 2004, pp 49-52, isbn 0-7803-8251-X, 4 p.Conference Paper

Stability analysis of asynchronous states in neuronal networks with conductance-based inhibitionLEIBOLD, Christian.Physical review letters. 2004, Vol 93, Num 20, pp 208104.1-208104.4, issn 0031-9007Article

Stability of Fuzzy Cellular Neural Networks with ImpulsesTINGWEN HUANG; ROQUE-SOL, Marco.Lecture notes in computer science. 2006, pp 243-248, issn 0302-9743, isbn 3-540-34439-X, 6 p.Conference Paper

On stable patterns realized by a class of one-dimensional two-layer CNNsNAGAYOSHI, Makoto; TAKAHASHI, Norikazu; NISHI, Tetsuo et al.MWSCAS : Midwest symposium on circuits and systems. 2004, isbn 0-7803-8346-X, 3Vol, Vol I, 385-388Conference Paper

Fingerprint feature matching using CNNsQUN GAO; MOSCHYTZ, George S.IEEE International Symposium on Circuits and Systems. 2004, pp 73-76, isbn 0-7803-8251-X, 4 p.Conference Paper

Quantum systems versus classical networksCIVALLERI, Pier Paolo; GILLI, Marco.IEEE conference on nanotechnology. 2004, pp 583-585, isbn 0-7803-8536-5, 1Vol, 3 p.Conference Paper

Rich dynamics in weakly-coupled full-range cellular neural networksDI MARCO, M; FORTI, M; TESI, A et al.IEEE International Symposium on Circuits and Systems. 2004, pp 41-44, isbn 0-7803-8251-X, 4 p.Conference Paper

Pattern formation on the prototype complex-cell CNN-UM chip (CACE1k)BDLYA, David; PETRAS, Istvan; REKECZKY, Csaba et al.IEEE International Symposium on Circuits and Systems. 2004, pp 53-56, isbn 0-7803-8251-X, 4 p.Conference Paper

A 32 X 32 four layer reaction-diffusion CNN chipSHI, Bertram E; LUO, Billow Tao.IEEE International Symposium on Circuits and Systems. 2004, pp 57-60, isbn 0-7803-8251-X, 4 p.Conference Paper

Necessary and sufficient conditions for one-dimensional discrete-time binary cellular neural network with nonsymmetric connections to be stableHARA, Haiime; TAKAHASHI, Norikazu; NISHI, Tetsuo et al.MWSCAS : Midwest symposium on circuits and systems. 2004, isbn 0-7803-8346-X, 3Vol, Vol I, 389-392Conference Paper

Finite iteration DT-CNN : New design and operating principlesMERKWIRTH, C; BRÖCKER, J; OGORZALEK, M et al.IEEE International Symposium on Circuits and Systems. 2004, pp 504-507, isbn 0-7803-8251-X, 4 p.Conference Paper

Existence of periodic solutions and closed invariant curves in a class of discrete-time cellular neural networksXUEMEI LI; ZHAOHUI YUAN.Physica. D. 2009, Vol 238, Num 16, pp 1658-1667, issn 0167-2789, 10 p.Article

Widrow-cellular neural network and optoelectronic implementationBAL, Abdullah.Optik (Stuttgart). 2004, Vol 115, Num 7, pp 295-300, issn 0030-4026, 6 p.Article

CNN wave based computation for robot navigation planningARENA, Paolo; BASILE, Adriano; FORTUNA, Luigi et al.IEEE International Symposium on Circuits and Systems. 2004, pp 500-503, isbn 0-7803-8251-X, 4 p.Conference Paper

Training Cellular Neural Networks with Stable Learning AlgorithmMORENO-ARMENDARIZ, Marco A; EGIDIO PAZIENZA, Giovanni; WEN YU et al.Lecture notes in computer science. 2006, pp 558-563, issn 0302-9743, isbn 3-540-34439-X, 6 p.Conference Paper

Cellular wave computers and CNN technology - a SoC architecture with xK processors and sensor arraysROSKA, Tamas.IEEE/ACM International Conference on Computer-Aided Design. 2005, pp 557-564, isbn 0-7803-9254-X, 1Vol, 8 p.Conference Paper

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Search for new learning rules for cellular neural networks using genetic programmingRADWAN, E; TAZAKI, E.SICE annual conference. 2004, pp 243-248, isbn 4-907764-22-7, 3Vol, 6 p.Conference Paper

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