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- W2380498069 abstract "In dealing with the problem that particle swarm optimization (PSO) easily falls into local optima,the learn factor was adjusted adaptively firstly in the paper.Secondly the authors combined with the simulated annealing algorithm which has a better global searching ability to improve the global and local searching ability.Thirdly this composite optimization algorithm with wavelet was used to optimize neural network parameter to forecast the foundation settlement.Then a comparison with the standard particle swarm optimization algorithm was made.Finally an experiment indicated that this composite optimization algorithm had good ability to global and local search the optima with high predictive precision." @default.
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- W2380498069 date "2010-01-01" @default.
- W2380498069 modified "2023-09-25" @default.
- W2380498069 title "Forecast application of foundation settlement using simulated annealing particle swarm and wavelet algorithm" @default.
- W2380498069 hasPublicationYear "2010" @default.
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