An pytorch-based package to use ANFIS for AI
Project description
pyANFIS
Welcome to pyANFIS! here you will be able to find a framework that will allow you to use Fuzzy Logic with usual pytorch layers. This framework is based on Jang's original paper, although it is going to implement several more things (listed below).
2024 Roadmap
- Jang's Original ANFIS.
- Create documentation for each class and function.
- Create an installation tutorial.
- Consequent parameters can be estimated using backpropagation.
- Type 1 (Tsukamoto) consequents can be used.
- Type 2 (Lee) consequents can be used.
- Functions inside a universe can merge when 2 functions cover a similar area.
- Automatically not use rules when they are not relevant.
- Display what rules have been fired with a certain data.
- Create a method to substitute a trained ANFIS with a surface like in Matlab.
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