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Prediction of Water Inrush from Coal Floor Based on Small Sample Data Mining Technology and Realization Using MATLAB

机译:基于小样本数据挖掘技术的煤层底板突水预测及MATLAB实现

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摘要

For there are few samples of water inrush from coal floor, how to dig wider information under the circumstance of limited sample data is to improve the prediction accuracy of water inrush form coal floor. Therefore, prediction model of water inrush is established based on correlation analysis and support vector machine (SVM). Not only does the model simplify the influenced indexes to construct the index system of water inrush from coal floor, but also dig the value of sample data to solve the problem of small sample and nonlinear prediction. Through the empirical analysis, the model using MATLAB can accurately predict whether water inrush from coal floor occurs.
机译:由于煤层底板突水的样本量少,如何在有限的采样数据的情况下挖掘更广泛的信息,是提高煤层底板突水的预测精度。因此,基于相关分析和支持向量机(SVM)建立了突水预测模型。该模型不仅简化了影响指标,建立了煤层底板突水指标体系,而且还挖掘了样本数据的价值,解决了样本量小和非线性预测的问题。通过实证分析,使用MATLAB的模型可以准确预测是否发生了煤层底板突水。

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