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FIT-SFCAcad. year: 2015/2016
Soft computing covers non-traditional technologies or approaches to solving hard real-world problems. Content of course, in accordance with meaning of its name, is as follow: Tolerance of imprecision and uncertainty as the main attributes of soft computing theories. Neural networks. Fuzzy logic. Genetic, ACO (Ant Colony Optimization) and PSO (Particle Swarm Optimization) algorithms. Probabilistic reasoning. Rough sets. Chaos. Hybrid approaches (combinations of neural networks, fuzzy logic and genetic algorithms).
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branch MGM , any year of study, winter semester, electivebranch MSK , any year of study, winter semester, electivebranch MIS , any year of study, winter semester, electivebranch MBS , any year of study, winter semester, electivebranch MMI , any year of study, winter semester, electivebranch MMM , any year of study, winter semester, compulsory-optionalbranch MIN , 1. year of study, winter semester, compulsorybranch MBI , 2. year of study, winter semester, compulsorybranch MPV , 2. year of study, winter semester, compulsory-optional
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