## CNNA |

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### Contents

F Zou S Schwarz and JANossek | 73 |

K SIot | 82 |

T Sziranyi T Roska and P Szolgay | 92 |

Copyright | |

6 other sections not shown

### Common terms and phrases

algorithm Analog VLSI applications architecture associative memory automata binary Budapest calculated cell cellular automata Cellular Neural Networks Chua cloning templates cluster CMOS CNN-HAC command computing connections convergence correlation current mirror current sources defined described detection detector dynamics edge detection elements equilibrium points example feature feedback Figure filter function grid Hamming distance hardware horizontal IEEE IEEE Trans image processing initial input image interconnections invariance iteration Kohonen L.O.Chua layer learning linear logic matrix method neighborhood neighbouring NEOCOGNITRON neural nets neurons NNSIM node nonlinear nonlinear and delay-type o o o o o o obtained operation optical optimization output image parameters pattern recognition performance pixels pRAM problem programming pyramidal cells realization sample shown in Fig sigmoid sigmoid function signal processing simulation solution step stepsize structure synapses T.Roska theory topological transformation transistors values variables vector VLSI VLSI implementation voltage weights