Particle swarm optimization performance for fitting of Lévy noise data
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DOI: 10.1016/j.physa.2018.09.137
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References listed on IDEAS
- Xu, Wei & Chen, Wen & Liang, Yingjie, 2018. "Feasibility study on the least square method for fitting non-Gaussian noise data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1917-1930.
- Xiuli Sang & Chun-Hua Zeng & Hua Wang, 2013. "Noise-induced optical bistability and state transitions in spin-crossover solids with delayed feedback," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 86(5), pages 1-7, May.
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- Jiang, Jianhua & Yang, Xi & Meng, Xianqiu & Li, Keqin, 2020. "Enhance chaotic gravitational search algorithm (CGSA) by balance adjustment mechanism and sine randomness function for continuous optimization problems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
- Jiang, Jianhua & Xu, Meirong & Meng, Xianqiu & Li, Keqin, 2020. "STSA: A sine Tree-Seed Algorithm for complex continuous optimization problems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
- Lv, Ya-jun & Wang, Jun-wei & Wang, Julian & Xiong, Cheng & Zou, Liang & Li, Ly & Li, Da-wang, 2020. "Steel corrosion prediction based on support vector machines," Chaos, Solitons & Fractals, Elsevier, vol. 136(C).
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Keywords
Lévy noise; Particle swarm optimization; Least square method; Fitting;All these keywords.
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