Support Vector machine and Monte Carlo simulation for robust optimization of industrial processes

2015 International Conference on Industrial Engineering and Systems Management (IESM) ◽

10.1109/iesm.2015.7380275 ◽

2015 ◽

Author(s):

Christophe Duhamel ◽

Benjamin Vincent ◽

Nikolay Tchernev ◽

Libo Ren

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Robust Optimization ◽

Industrial Processes ◽

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Improvement of the Support Vector Machine-based Monte Carlo Simulation for Calculating Failure Probability

Transactions of the Korean Society of Mechanical Engineers A ◽

10.3795/ksme-a.2020.44.4.269 ◽

2020 ◽

Vol 44 (4) ◽

pp. 269-279

Author(s):

Seunggyu Lee ◽

Jae Hoon Kim

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Failure Probability ◽

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Reliability Evaluation Using Monte Carlo Simulation and Support Vector Machine

Lecture Notes in Computer Science - Computational Science — ICCS 2002 ◽

10.1007/3-540-46043-8_14 ◽

2002 ◽

pp. 147-155 ◽

Author(s):

C. M. Rocco Sanseverino ◽

J. A. Moreno

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Reliability Evaluation ◽

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Monte Carlo simulation using support vector machine and kernel density for failure probability estimation

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107481 ◽

2021 ◽

Vol 209 ◽

pp. 107481

Author(s):

Seunggyu Lee

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Failure Probability ◽

Kernel Density ◽

Probability Estimation ◽

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Probabilistic evaluation of drilling rate index based on a least square support vector machine and Monte Carlo simulation

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-018-1327-1 ◽

2018 ◽

Vol 78 (5) ◽

pp. 3111-3118 ◽

Author(s):

Zhongliang Ru ◽

Hongbo Zhao ◽

Changxing Zhu

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Least Square ◽

Support Vector ◽

Drilling Rate ◽

Probabilistic Evaluation ◽

Drilling Rate Index

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Slope reliability analysis by updated support vector machine and Monte Carlo simulation

Natural Hazards ◽

10.1007/s11069-012-0396-x ◽

2012 ◽

Vol 65 (1) ◽

pp. 707-722 ◽

Author(s):

Shaojun Li ◽

Hong-Bo Zhao ◽

Zhongliang Ru

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Reliability Analysis ◽

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An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation

Structural Safety ◽

10.1016/j.strusafe.2017.04.006 ◽

2017 ◽

Vol 67 ◽

pp. 85-95 ◽

Author(s):

Qiujing Pan ◽

Daniel Dias

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Support Vector ◽

Reliability Method ◽

Adaptive Support

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A dynamic reliability analysis method based on support vector machine and Monte Carlo simulation

Journal of Computational Methods in Sciences and Engineering ◽

10.3233/jcm-193473 ◽

2020 ◽

Vol 20 (1) ◽

pp. 149-155

Author(s):

Xiuqiang Pan ◽

Yangu Zhang ◽

Yi Wan

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Reliability Analysis ◽

Support Vector ◽

Analysis Method ◽

Dynamic Reliability

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Least squares support vector machine regression combined with Monte Carlo simulation based on the spatial frequency domain imaging for the detection of optical properties of pear

Postharvest Biology and Technology ◽

10.1016/j.postharvbio.2018.05.018 ◽

2018 ◽

Vol 145 ◽

pp. 1-9 ◽

Author(s):

Xueming He ◽

Xu Jiang ◽

Xiaping Fu ◽

Yingwang Gao ◽

Xiuqin Rao

Keyword(s):

Support Vector Machine ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Optical Properties ◽

Spatial Frequency ◽

Least Squares ◽

Support Vector ◽

Spatial Frequency Domain Imaging ◽

Simulation Based ◽

Spatial Frequency Domain

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A SUPPORT VECTOR REGRESSION AND MONTE CARLO SIMULATION - BASED INTERVAL TWO-STAGE PROGRAMMING FOR ENVIRONMENTAL SYSTEMS PLANNING IN BEIJING

Environmental Engineering and Management Journal ◽

10.30638/eemj.2019.032 ◽

2019 ◽

Vol 18 (2) ◽

pp. 329-348 ◽

Author(s):

Yanpeng Cai ◽

Chao Dai ◽

Yongping Li ◽

Wei Sun ◽

Guohe Huang

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Support Vector Regression ◽

Support Vector ◽

Two Stage ◽

Systems Planning ◽

Environmental Systems ◽

Simulation Based

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Face detection algorithm based on hybrid Monte Carlo method and Bayesian support vector machine

Concurrency and Computation Practice and Experience ◽

10.1002/cpe.2874 ◽

2012 ◽

Vol 25 (9) ◽

pp. 1064-1072 ◽

Author(s):

Liejun Wang ◽

Taiyi Zhang ◽

Zhenhong Jia ◽

Liang Ding

Keyword(s):

Support Vector Machine ◽

Monte Carlo ◽

Monte Carlo Method ◽

Face Detection ◽

Detection Algorithm ◽

Support Vector ◽

Hybrid Monte Carlo ◽

Bayesian Support

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