articleTop 1% cited
Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
Applied Mathematics and Computation · 2012 · Vol. 218(22) · pp. 11125–11137
Seyedali Mirjalili✉(University of Technology Malaysia)Siti Zaiton Mohd Hashim(University of Technology Malaysia)Hossein Moradian Sardroudi(University of Technology Malaysia)
Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and ApplicationsNeural Networks and ApplicationsMaxima and minimaParticle swarm optimizationFeedforward neural networkAlgorithmComputer scienceArtificial neural networkConvergence (economics)HeuristicMathematical optimizationArtificial intelligence
Citations
503
FWCI
39.69
field-weighted impact
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32
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References
A hybrid particle swarm optimization–back-propagation algorithm for feedforward neural network training
Applied Mathematics and Computation · 2006 · 703 citations
GSA: A Gravitational Search Algorithm
Information Sciences · 2009 · 7,193 citations
Multilayer feedforward networks are universal approximators
Neural Networks · 1989 · 20,841 citations
Training feedforward networks with the Marquardt algorithm
IEEE Transactions on Neural Networks · 1994 · 7,665 citations
Multilayer feedforward networks are universal approximators
Neural Networks · 1989 · 9,346 citations
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