多元非线性瓦斯涌出量组合预测方法
Study on Multivariate Nonlinear Combination Prediction of Gas Emission
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摘要: 针对现有的一元线性单项预测方法信息源局限性和建模形式敏感性的缺陷,通过引入诱导有序加权几何平均(IOWGA)算子构建多元非线性瓦斯涌出量组合预测模型。工程实例表明:该预测模型具有预测精度高,数据可信度好,预测效果理想等优点,可应用于煤矿安全生产预测。Abstract: Considering source limitations and modeling form sensitivity of the existing monadic linear forecasting method,multivariate nonlinear combination prediction model of gas emission is built by induced ordered weighted geometric averaging(IOWGA) operator.The engineering examples show that this prediction model has various advantages such as high prediction accuracy,good data credibility and ideal prediction effect,etc.It can be applied to the coal mine safety production forecast.