首页> 外文会议>International Mine Water Association Conference >Prediction of the Confined Water Rising Zone in a Coal Floor Based on Fuzzy Theory (Fuzzy) - Gray Relation Analysis (GRA) - Particle Swarm Optimization(PSO) - Support Vector Regression (SVR)
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Prediction of the Confined Water Rising Zone in a Coal Floor Based on Fuzzy Theory (Fuzzy) - Gray Relation Analysis (GRA) - Particle Swarm Optimization(PSO) - Support Vector Regression (SVR)

机译:基于模糊理论(模糊) - 灰色关系分析(GRA) - 粒子群优化(PSO) - 支持向量回归(SVR)预测煤层中限制水上升区的预测

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摘要

The confined water rising zone and water inrush from the floor are closely related. In this paper, based on the collected samples of North-China-type coalfields, after the nondimensional disposal of the influencing indices by Fuzzy Theory (Fuzzy), four main indices were selected by the Gray Relation Analysis(GRA): aquifuge index, water pressure index, permeability index and structural index. The (Particle Swarm Optimization) PSO was used to optimize the parameters of the (Support Vector Regression) SVR;;then, the nonlinear regression model was established by the SVR to predict the confined water rising zone based on MATLAB. Compared with other methods, the Fuzzy-GRA-PSO-SVR model has good generalization and can be applied to field prediction.
机译:狭窄的水上升区和地板的水涌密切相关。本文基于北中煤田的收集样本,在模糊理论(模糊)的影响指数的情况下,灰色关系分析(GRA)选择了四个主要指标:AQUIFUGE指数,水压力指数,渗透性指数和结构指数。 (粒子群优化)PSO用于优化(支持向量回归)SVR的参数;然后,SVR建立非线性回归模型,以预测基于MATLAB的受限水上升区。与其他方法相比,模糊GRA-PSO-SVR模型具有良好的泛化,并且可以应用于现场预测。

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