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A novel optimized SVM algorithm based on PSO with saturation and mixed time-delays for classification of oil pipeline leak detection

机译：一种基于PSO的新型优化SVM算法，饱和度和混合时间延迟，用于排水管道泄漏检测

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Chuang Wang; Yong Zhang; Jinbo Song; Qingqiang Liu; Hongli Dong;
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1. A novel optimized SVM algorithm based on PSO with saturation and mixed time-delays for classification of oil pipeline leak detection [J] . Chuang Wang, Yong Zhang, Jinbo Song, Systems Science & Control Engineering . 2019,第1期

机译：一种基于PSO的新型优化SVM算法，饱和度和混合时间延迟，用于排水管道泄漏检测
2. Classification of Medical Datasets Using SVMs with Hybrid Evolutionary Algorithms Based on Endocrine-Based Particle Swarm Optimization and Artificial Bee Colony Algorithms [J] . Lin Kuan-Cheng, Hsieh Yi-Hsiu Journal of medical systems . 2015,第10期

机译：基于基于内分泌粒子群优化和人工蜂群算法的混合进化算法的支持向量机支持的医学数据集分类
3. Leak location of pipelines based on transient model and PSO-SVM [J] . Lei Ni, Juncheng Jiang, Yong Pan Journal of loss prevention in the process industries . 2013,第6期

机译：基于瞬态模型和PSO-SVM的管道泄漏定位
4. A HYBRID METHOD BASED ON SVM INTEGRATED IMPROVED PSO ALGORITHM FOR ELECTRICAL ENERGY CONSUMPTION FORECASTING OF CRUDE OIL PIPELINE [C] . Lei Xu, Lei Hou, Zhenyu Zhu, International Pipeline Conference . 2020

机译：基于SVM综合改进PSO算法的杂交方法，用于原油管道电能消耗预测
5. Investigation of factors affecting transient pressure wave propagation and implications to transient based leak detection methods in pipeline systems. [D] . Duan, Huanfeng. 2011

机译：研究影响瞬态压力波传播的因素以及对管道系统中基于瞬态的泄漏检测方法的影响。
6. Optimization of SVM Parameters with Hybrid CS-PSO Algorithms for Parkinsons Disease in LabVIEW Environment [O] . Duygu Kaya 2019

机译：LabVIEW环境中使用帕金森氏病的混合CS-PSO算法优化SVM参数
7. Research on Leak Detection of Water Pipeline Base on PSO-SVM [O] . Xue-yuan WANG, Zhi-gang CHEN, Xin-rong ZHONG 2017

机译：PSO-SVM水管道泄漏检测研究

A novel optimized SVM algorithm based on PSO with saturation and mixed time-delays for classification of oil pipeline leak detection

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