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针对影响瓦斯涌出量的因素复杂多样化以及各因素之间的非线性问题,采用径向基核函数把支持向量机算法中的低维空间向量集映射到高维空间,进而建立基于实验数据的煤矿瓦斯涌出量预测模型。样本数据分为训练样本、测试样本和校验样本,结合MATLAB强大的运算功能,进行仿真研究。结果显示:整个系统具有较强的逼近和容错能力,以及较快的收敛速度,对煤矿瓦斯涌出量具有较好的预报效果。
In view of the complicated diversification of factors influencing gas emission and the nonlinearity among various factors, the radial basis function is used to map the low-dimensional space vector set in SVM algorithm into high-dimensional space. Based on the experimental data Coal Mine Gas Emission Prediction Model. Sample data is divided into training samples, test samples and calibration samples, combined with MATLAB powerful computing capabilities, simulation studies. The results show that the whole system has strong approximation and fault tolerance, as well as faster convergence rate, which has a good forecast effect on gas emission from coal mines.