Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction

@article{Chandra2012CooperativeCO,
  title={Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction},
  author={Rohitash Chandra and M. Zhang},
  journal={Neurocomputing},
  year={2012},
  volume={86},
  pages={116-123}
}
  • Rohitash Chandra, M. Zhang
  • Published 2012
  • Computer Science
  • Neurocomputing
    • Cooperative coevolution decomposes a problem into subcomponents and employs evolutionary algorithms for solving them. Cooperative coevolution has been effective for evolving neural networks. Different problem decomposition methods in cooperative coevolution determine how a neural network is decomposed and encoded which affects its performance. A good problem decomposition method should provide enough diversity and also group interacting variables which are the synapses in the neural network… CONTINUE READING
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