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PSO, fourth-order, cumulant matching, seismic wavelet
The seismic wavelet estimation is finally a multi-dimension, multi-extreme and multi-parameter optimization problem. PSO is easy to fall into local optimum, which has simple concepts and fast convergence. This paper proposes an improved PSO with adaptive parameters and boundary constraints, in ensuring accuracy of the algorithm optimization and fast convergence. Simulation results show that the methods have good applicability and stability for seismic wavelet extraction.
Yongshou Dai, Hui Niu, "An improved PSO algorithm and its application in seismic wavelet extraction", International Journal of Intelligent Systems and Applications(IJISA), vol.3, no.5, pp.34-40, 2011. DOI:10.5815/ijisa.2011.05.05
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