A Hybrid Differential Evolution and BackPropagation Algorithm for Feedforward Neural Network Training

@inproceedings{Sarangi2013AHD,
  title={A Hybrid Differential Evolution and BackPropagation Algorithm for Feedforward Neural Network Training},
  author={Partha Pratim Sarangi and Abhimanyu Sahu},
  year={2013}
}
In this study a hybrid differential evolution-back-propagation algorithm to optimize the weights of feedforward neural network is proposed. The hybrid algorithm can achieve faster convergence speed with higher accuracy. The proposed hybrid algorithm combining differential evolution (DE) and back-propagation (BP) algorithm is referred to as DE-BP algorithm to train the weights of the feed-forward neural (FNN) network by exploiting global searching feature of the DE evolutionary algorithm and… CONTINUE READING
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