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 : https://colab.research.google.com/drive/1u6SOydDUThUrhTfaic2NiyDhh1ZGRJsH?usp=sharing

What's new:
- the jupyter notebook is reorganized and clean

Features

  • Neural networks
  • Particle swarm optimization
  • Regressions
  • Classifications
  • Time series

Project Samples

airfoil self noise regression algebraic surface regression moon classification decision boundary passenger prediction shampoo prediction wine classification confusion matrix

Project Activity

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Categories

Machine Learning

License

MIT License

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Additional Project Details

Operating Systems

Linux, Windows

Registered

2020-05-11
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