From the series: Fuzzy Logic
This video covers the basics of data-driven approaches to tuning fuzzy inference systems.
See what it means to find an optimal solution, which fuzzy inference parameters are being tuned. Learn how optimization algorithms, like genetic algorithms and pattern search, can efficiently tune the parameters.
Follow along with an example about tuning a fuzzy inference system using data that controls an artificial pancreas.
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