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 DomainsPaper 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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