The package implements ANFIS Type 3 Takagi and Sugeno's fuzzy if-then rule network with the following features: (1) Independent number of membership functions(MF) for each input, and also different MF extensible types. (2) Type 3 Takagi and Sugeno's fuzzy if-then rule (3) Full Rule combinations, e.g. 2 inputs 2 membership funtions -> 4 fuzzy rules (4) Hibrid learning, i.e. Descent Gradient for precedents and Least Squares Estimation for consequents (5) Multiple outputs.
|Author||Cristobal Fresno, Andrea S. Llera and Elmer A. Fernandez|
|Maintainer||Cristobal Fresno <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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