nilinswap / neuro-evolution

A project on improving Neural Networks performance by using Genetic Algorithms.

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Multi-Objective Neuro Evolution

Abstract

In this project we implement a memetic algorithm, in that, we are training neural networks using evolutionary algorithms and occasionally apply back-propagation on cluster-heads we recieved after applying clustering. We used NEAT techniques to realise Neural Network and combined it with NSGA-II to implement Genetic algorithm. We have also done experiments on Transfer learning using this model. See branch 'dataset3_tl' for that.

Contributors

  1. Swapnil Sharma
  2. Aditya Pimparkar
  3. Atul Kumar Sinha
  4. Kunal Gupta
  5. Raghav Khandelwal

About

A project on improving Neural Networks performance by using Genetic Algorithms.

License:GNU General Public License v3.0


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Language:Python 100.0%