Abstract
The specification of high contrast color sets is a fundamental step towards the optimal use of color to represent qualitative data. The problem is formulated here as a combinatorial optimization problem on graphs, and a Hopfield neural network of analog neurons is designed to find approximate solutions. The network's performance, heuristically evaluated, appears satisfactory. The simplicity, versatility, and robustness of the algorithm make it a valid tool in nominal color coding.
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Campadelli, P., Mora, P. & Schettini, R. Color set selection for nominal coding by Hopfield networks. The Visual Computer 11, 150–155 (1995). https://doi.org/10.1007/BF01898600
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DOI: https://doi.org/10.1007/BF01898600