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artemik/fuzzy-neural-network-tsk

Fuzzy Neural Network TSK (Takagi-Sugeno-Kang) with hybrid training and C-Means clustering.

Fuzzy Neural Network TSK (Takagi-Sugeno-Kang)

Hybrid Training algorithm and C-Means for initial Gaussian function parameters setup.

In this example the neural network is trained to forecast a currency rate.

Implemented in Groovy (slow, but fun).

Languages

Groovy100.0%

Contributors

MIT License
Created August 4, 2017
Updated May 22, 2025