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最小二乘支持向量机与Kalman滤波耦合的瓦斯涌出量动态预测模型

时间:2022-03-09 09:46:07 浏览次数:

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[7]LI C, JIANG X. Kalman filter based on SVM innovation update for predicting state-of health of VRLA batteries [C]// Applied Informatics and Communication. Berlin: Springer, 2011: 125-147.

[8]TEIXEIRA C, DIREITO B, BANDARABADI M, et al. Output regularization of SVM seizure predictors: Kalman filter versus the “firing power” method [C]// Proceedings of the 2012 Annual International Conference on Engineering in Medicine and Biology Society. Piscataway: IEEE, 2012: 6530-6533.

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[11]HE L. Nonlinear characteristic analysis and study of the theory for prediction and simulation about gas emission in the working faces of coal mine [D]. Changsha: Central South University, 2009.(何利文.煤矿回采工作面瓦斯涌出非线性特性分析及预测仿真理论研究[D].长沙:中南大学,2009.)

[12]DINI D H, MANDIC D P, JULIER S J. A widely linear complex unscented Kalman filter [J]. IEEE Signal Processing Letters, 2011, 18(11): 623-626.

[13]LIN J, CHEN C, PENG C. Kalman filter decision systems for debris flow hazard assessment [J]. Natural Hazards, 2012, 60(3): 1255-1266.

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