codes for implementing pso-cwm and vdpso-cmw (MathWorks Inc)
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codes for implementing pso-cwm and vdpso-cmw
Codes For Implementing Pso Cwm And Vdpso Cmw, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pso+implementation/pm33032116-7-7-14
Average 90 stars, based on 1 article reviews
Codes For Implementing Pso Cwm And Vdpso Cmw, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pso+implementation/pm33032116-7-7-14
Average 90 stars, based on 1 article reviews
codes for implementing pso-cwm and vdpso-cmw - by Bioz Stars,
2026-09
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other:Article Title: A novel variable selection method based on combined moving window and intelligent optimization algorithm for variable selection in chemical modeling. Article Snippet: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 246 (2021) 118986 Contents lists available at ScienceDirect Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy j ourna l homepage: www.e lsev ie r .com/ locate /saa A novel variable selection method based on combined moving window and intelligent optimization algorithm for variable selection in chemical modeling Pengfei Zhang a,1, Zhuopin Xu a,b,1, QiWang a,⁎, Shuang Fan a,b,Weimin Cheng a,b, HaipingWang a,b, YuejinWua,⁎ a Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China b University of Science and Technology of China, Hefei 230026, China ⁎ Corresponding authors.. E-mail addresses: wangqi@ipp.ac.cn (Q. Wang), yjwu@ 1 Pengfei Zhang and Zhuopin Xu contributed equally to https://doi.org/10.1016/j.saa.2020.118986 1386-1425/© 2020 Elsevier B.V. All rights reserved. a b s t r a c t a r t i c l e i n f o Article history: Received 16 June 2020 Received in revised form 26 August 2020 Accepted 21 September 2020 Available online 25 September 2020 Keywords: Variable selection Multivariate calibration Intelligent optimization algorithm Particle swarm optimization Near-infrared spectroscopy We propose a newwavelength selection algorithm based on combinedmovingwindow (CMW) and variable dimension particle swarm optimization (VDPSO) algorithm.. CMW retains the advantages of the moving window algorithm, and different windows can overlap each other to realize automatic optimization of spectral interval width and number. |