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In this paper, a design and implementation method of cellular neural networks with a multi-valued saturation function is discussed. The multi-valued saturation function is defined as a linear combination of piecewise linear functions that consist of a saturation range and a linear-slope range. The length of these ranges determine the output characteristics of each neuron, and is expressed by two parameters. We investigate the relation between these output characteristics and the ability of the multi-valued associative memory with computer simulation. Finally, we propose a design guideline for deciding its parameters from these results.
Date of Conference: 7-10 Oct. 2007