articleTop 1% cited
A hybrid particle swarm optimization–back-propagation algorithm for feedforward neural network training
Applied Mathematics and Computation · 2006 · Vol. 185(2) · pp. 1026–1037
Jingru Zhang✉(Institute of Intelligent Machines)Jun Zhang(Chinese Academy of Sciences)Tat-Ming Lok(Chinese University of Hong Kong)Michael R. Lyu(Chinese University of Hong Kong)
Metaheuristic Optimization Algorithms ResearchNeural Networks and ApplicationsImage and Video StabilizationParticle swarm optimizationAlgorithmArtificial neural networkBackpropagationComputer scienceFeedforward neural networkHeuristicHybrid algorithm (constraint satisfaction)Mathematical optimizationGlobal optimization
Citations
703
FWCI
21.09
field-weighted impact
References
32
Percentile
99%
vs. same field & year
Citations per year
Cited by
Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
Applied Mathematics and Computation · 2012 · 503 citations
Back propagation neural network with adaptive differential evolution algorithm for time series forecasting
Expert Systems with Applications · 2014 · 624 citations
On recent advances in PV output power forecast
Solar Energy · 2016 · 522 citations
Feature selection in machine learning: A new perspective
Neurocomputing · 2018 · 2,010 citations
References
Multilayer feedforward networks are universal approximators
Neural Networks · 1989 · 20,841 citations
An evolutionary algorithm that constructs recurrent neural networks
IEEE Transactions on Neural Networks · 1994 · 1,020 citations
Increased rates of convergence through learning rate adaptation
Neural Networks · 1988 · 1,797 citations
Particle Swarm Optimization Versus Genetic Algorithms for Phased Array Synthesis
IEEE Transactions on Antennas and Propagation · 2004 · 935 citations
Multilayer feedforward networks are universal approximators
Neural Networks · 1989 · 9,346 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.