Related references
Note: Only part of the references are listed.Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
Mohammad Ali Ahmadi et al.
APPLIED SOFT COMPUTING (2013)
A novel parallel hybrid intelligence optimization algorithm for a function approximation problem
Wu Deng et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2012)
A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction
Wu Deng et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
An improved particle swarm optimization for evolving feedforward artificial neural networks
Jianbo Yu et al.
NEURAL PROCESSING LETTERS (2007)
Automatic construction of feedforward/recurrent fuzzy systems by clustering-aided simplex particle swarm optimization
Chia-Feng Juang et al.
FUZZY SETS AND SYSTEMS (2007)
Application of a PSO-based neural network in analysis of outcomes of construction claims
K. W. Chau
AUTOMATION IN CONSTRUCTION (2007)
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
Jing-Ru Zhang et al.
APPLIED MATHEMATICS AND COMPUTATION (2007)
Multiple contour extraction from graylevel images using an artificial neural network
YV Venkatesh et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2006)
An improved PSO-based ANN with simulated annealing technique
D Yi et al.
NEUROCOMPUTING (2005)
A Hybri of genetic algorithm and particle swarm optimization for recurrent network design
CF Juang
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2004)
The particle swarm optimization algorithm: convergence analysis and parameter selection
IC Trelea
INFORMATION PROCESSING LETTERS (2003)
Gilding the lily: A variant of the Nelder-Mead algorithm based on golden-section search
L Nazareth et al.
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS (2002)