@inproceedings{f5a09cb24e4446e09edf97917f27bbc4,
title = "Differential evolution based particle swarm optimizer for neural network learning",
abstract = "An improved particle swarm optimizer based on differential evolution theory is proposed. This algorithm introduces differential mutation operator into the basic particle swarm optimizer in order to solve the premature convergence problem. And this new algorithm was used to training weights and thresholds of feedforward neural network, simulation results show that this approach is effective and has an excellent convergence performance.",
keywords = "Artificial neural network, Differential evolution, Particle swarm optimizer, Swarm intelligence",
author = "Dongfang Ning and Weiguo Zhang and Bin Li",
year = "2008",
doi = "10.1109/WCICA.2008.4594525",
language = "英语",
isbn = "9781424421145",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
pages = "4444--4447",
booktitle = "Proceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08",
note = "7th World Congress on Intelligent Control and Automation, WCICA'08 ; Conference date: 25-06-2008 Through 27-06-2008",
}