Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm. Lee, C. & Ko, C. Neurocomputing, 73(1–3):449 - 460, 2009. Timely Developments in Applied Neural Computing (EANN 2007) / Some Novel Analysis and Learning Methods for Neural Networks (ISNN 2008) / Pattern Recognition in Graphical Domains
Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm [link]Paper  doi  bibtex   
@Article{Lee_2009_13129,
  author = {Lee, Cheng-Ming and Ko, Chia-Nan},
 journal = {Neurocomputing},
 note = {<ce:title>Timely Developments in Applied Neural Computing (EANN 2007) / Some Novel Analysis and Learning Methods for Neural Networks (ISNN 2008) / Pattern Recognition in Graphical Domains</ce:title>},
 number = {1–3},
 pages = {449 - 460},
 title = {Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm},
 volume = {73},
 year = {2009},
 issn = {0925-2312},
 keywords = {Timeseriesprediction; Radial basis function networks; Particle swarm optimization; Nonlinear time-varyingevolution},
 url = {http://www.sciencedirect.com/science/article/pii/S0925231209002598},
 doi = {10.1016/j.neucom.2009.07.005},
 title_with_no_special_chars = {Time series prediction using RBF neural networks with a nonlinear timevarying evolution PSO algorithm}
}

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