Abstract

A CMOS circuit implementation of a cellular neural network is discussed. The implementation is reminiscent of classical cellular automata and has been designed for image processing. Software has been developed that models cell dynamics directly from state and output equations. To verify the proposed approach, an 8 by 9 prototype network circuit has been implemented for edge detection and sent to MOSIS for fabrication.< >

Keywords:
CMOS Cellular automaton Computer science Cellular neural network Artificial neural network Software State (computer science) Computer architecture Artificial intelligence Electronic engineering Algorithm Programming language Engineering

Metrics

3
Cited By
0.23
FWCI (Field Weighted Citation Impact)
19
Refs
0.59
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cellular Automata and Applications
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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