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SwaNN is a basic framework for neural networks based on particle swarm optimization (using the Python package PySwarms (https://pyswarms.readthedocs.io/en/latest/).
The zip file contains the main programs in SwaNN.py and around 30 examples :
- classification
- regression
- time series forecasting
I need some help for class building (I am not an expert in Python nor in OOP), if somebody is interested in it...
In Google Colab :...
...It supports four classifiers (KNN, Naive-Bayes, Rochio and SVM-Perf), four view combining methods (Majority Voting, Borda Count, Dempster-Shafer theory of evidence and PSO) and provides many analisys tools.