Analysis of artificial neural network learning near temporary minima: A fuzzy logic approach
Fuzzy Sets and Systems
Classification rule discovery with ant colony optimization algorithm
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Supercritical Pitchfork Bifurcation in Implicit Regression Modeling
International Journal of Artificial Life Research
Data mining with ant colony algorithms
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
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We apply fuzzy modeling to transform a verbal description of the foraging behavior of ants into a well-defined mathematical model. The resulting model is simpler, more plausible, and more amenable to analysis than previously suggested models. We believe that fuzzy modeling may be suitable for addressing biomimicry, that is, the development of artificial products or machines that mimic biological phenomena, in a systematic manner.