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Journal Abstract Search

469 related items for PubMed ID: 28787927

  • 1. The Bi-Directional Prediction of Carbon Fiber Production Using a Combination of Improved Particle Swarm Optimization and Support Vector Machine.
    Xiao C, Hao K, Ding Y.
    Materials (Basel); 2014 Dec 30; 8(1):117-136. PubMed ID: 28787927
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  • 3. Ship power load forecasting based on PSO-SVM.
    Dai X, Sheng K, Shu F.
    Math Biosci Eng; 2022 Mar 04; 19(5):4547-4567. PubMed ID: 35430827
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  • 9. A Sensor Dynamic Measurement Error Prediction Model Based on NAPSO-SVM.
    Jiang M, Jiang L, Jiang D, Li F, Song H.
    Sensors (Basel); 2018 Jan 15; 18(1):. PubMed ID: 29342942
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  • 10. Rapid Screening of Thyroid Dysfunction Using Raman Spectroscopy Combined with an Improved Support Vector Machine.
    Wang D, Jiang J, Mo J, Tang J, Lv X.
    Appl Spectrosc; 2020 Jun 15; 74(6):674-683. PubMed ID: 32031008
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  • 11. Recognition of polycyclic aromatic hydrocarbons using fluorescence spectrometry combined with bird swarm algorithm optimization support vector machine.
    Wang S, Liu S, Che X, Wang Z, Zhang J, Kong D.
    Spectrochim Acta A Mol Biomol Spectrosc; 2020 Jan 05; 224():117404. PubMed ID: 31374351
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  • 12. A Combination of Geographically Weighted Regression, Particle Swarm Optimization and Support Vector Machine for Landslide Susceptibility Mapping: A Case Study at Wanzhou in the Three Gorges Area, China.
    Yu X, Wang Y, Niu R, Hu Y.
    Int J Environ Res Public Health; 2016 May 11; 13(5):. PubMed ID: 27187430
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  • 13. Underwater gas pipeline leakage source localization by distributed fiber-optic sensing based on particle swarm optimization tuning of the support vector machine.
    Huang Y, Wang Q, Shi L, Yang Q.
    Appl Opt; 2016 Jan 10; 55(2):242-7. PubMed ID: 26835758
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  • 14. Performance Prediction of Differential Fibers with a Bi-Directional Optimization Approach.
    Wang Y, Ding Y, Hao K, Wang T, Liu X.
    Materials (Basel); 2013 Dec 18; 6(12):5967-5985. PubMed ID: 28788433
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  • 15. An Efficient Feature Selection Strategy Based on Multiple Support Vector Machine Technology with Gene Expression Data.
    Zhang Y, Deng Q, Liang W, Zou X.
    Biomed Res Int; 2018 Dec 18; 2018():7538204. PubMed ID: 30228989
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  • 16. A Hybrid Particle Swarm Optimization Algorithm with Dynamic Adjustment of Inertia Weight Based on a New Feature Selection Method to Optimize SVM Parameters.
    Wang J, Wang X, Li X, Yi J.
    Entropy (Basel); 2023 Mar 19; 25(3):. PubMed ID: 36981419
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  • 17. Hybrid IPSO-IAGA-BPNN algorithm-based rapid multi-objective optimization of a fully parameterized spaceborne primary mirror.
    Qin T, Guo J, Jing Z, Han P, Qi B.
    Appl Opt; 2021 Apr 10; 60(11):3031-3043. PubMed ID: 33983197
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  • 18. A Novel Optimization Technique to Improve Gas Recognition by Electronic Noses Based on the Enhanced Krill Herd Algorithm.
    Wang L, Jia P, Huang T, Duan S, Yan J, Wang L.
    Sensors (Basel); 2016 Aug 12; 16(8):. PubMed ID: 27529247
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  • 19. Comparison of support vector machines based on particle swarm optimization and genetic algorithm in sleep staging.
    Geng D, Zhao J, Dong J, Jiang X.
    Technol Health Care; 2019 Aug 12; 27(S1):143-151. PubMed ID: 31045534
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  • 20. The Identification of ECG Signals Using WT-UKF and IPSO-SVM.
    Li N, Zhu L, Ma W, Wang Y, He F, Zheng A, Zhang X.
    Sensors (Basel); 2022 Mar 02; 22(5):. PubMed ID: 35271105
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