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Journal Abstract Search

324 related items for PubMed ID: 28781591

  • 1. Feature Selection and Parameters Optimization of SVM Using Particle Swarm Optimization for Fault Classification in Power Distribution Systems.
    Cho MY, Hoang TT.
    Comput Intell Neurosci; 2017; 2017():4135465. PubMed ID: 28781591
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  • 2. Seminal quality prediction using data mining methods.
    Sahoo AJ, Kumar Y.
    Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
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  • 3. Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation.
    Illias HA, Zhao Liang W.
    PLoS One; 2018; 13(1):e0191366. PubMed ID: 29370230
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  • 4. The construction of support vector machine classifier using the firefly algorithm.
    Chao CF, Horng MH.
    Comput Intell Neurosci; 2015; 2015():212719. PubMed ID: 25802511
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  • 5. Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine.
    Xi M, Sun J, Liu L, Fan F, Wu X.
    Comput Math Methods Med; 2016; 2016():3572705. PubMed ID: 27642363
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  • 8. Development of Intelligent Fault Diagnosis Technique of Rotary Machine Element Bearing: A Machine Learning Approach.
    Saha DK, Hoque ME, Badihi H.
    Sensors (Basel); 2022 Jan 29; 22(3):. PubMed ID: 35161814
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  • 12. Application of multi-SVM classifier and hybrid GSAPSO algorithm for fault diagnosis of electrical machine drive system.
    Ding S, Hao M, Cui Z, Wang Y, Hang J, Li X.
    ISA Trans; 2023 Feb 29; 133():529-538. PubMed ID: 35868910
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  • 13. Classification of electrocardiogram signals with support vector machines and particle swarm optimization.
    Melgani F, Bazi Y.
    IEEE Trans Inf Technol Biomed; 2008 Sep 29; 12(5):667-77. PubMed ID: 18779082
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  • 14. An enhanced diagnosis method for weak fault features of bearing acoustic emission signal based on compressed sensing.
    Wang C, Liu C, Liao M, Yang Q.
    Math Biosci Eng; 2021 Feb 04; 18(2):1670-1688. PubMed ID: 33757204
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  • 15. Research on Three-Phase Asynchronous Motor Fault Diagnosis Based on Multiscale Weibull Dispersion Entropy.
    Xie F, Sun E, Zhou S, Shang J, Wang Y, Fan Q.
    Entropy (Basel); 2023 Oct 13; 25(10):. PubMed ID: 37895567
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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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  • 19. Support vector machine based on adaptive acceleration particle swarm optimization.
    Abdulameer MH, Sheikh Abdullah SN, Othman ZA.
    ScientificWorldJournal; 2014 Mar 19; 2014():835607. PubMed ID: 24790584
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  • 20. 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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