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KEI/ANF
Applications of Neural and Fuzzy Systems
Guarantors: Ing. Petr Weissar, Ph.D.
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Course annotation
KEI/ANF
-IS/STAG
To acquaint students with problems from the biological neural networks, neural networks and the brain as a complex system. Furthermore, the model of neuron and follow the basic structure of neural networks such as Hopfield network, Hamming network, perceptron, multilayer perceptron, Kohonen self-organizing maps and more. The other areas are fuzzy systems based on the theory of fuzzy sets. Includes their usage in the controller. Blocks of fuzzyfication and deffuzyfication will be discussed including fuzzy rules. In addition to special types of neural networks for particular applications will demonstrate the practical application of fuzzy methods in practical use. |
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Úvod, lidský mozek, simulační modely neuronu |
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Modelování neuronů a sítí, rozdělení. Struktury typu Hopfield, Hamming |
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Perceptron |
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Kohonenovy mapy |
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Fuzzy logika ? pojmy |
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Fuzzy logika ? implementace |
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Matlab - Implementace |
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Příklad řešení ? Holota, n-tuple |
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Příklad řešení ? Holota-Fiřt, TV |
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Příklad řešení |
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Prezentace dat získaných ze semestrálních prací |
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Společná část zkouškového testu |
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Last updated:
30.09.2020
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