基于支持向量机的瓦斯突出预测研究

• 作 者: 杨奎生
• 机 构: 煤矿瓦斯治理国家工程研究中心,
• 出 处: 科技创业家
• 发表日期: 2014年02期
• 关键词: 瓦斯 突出 预测 支持向量机

瓦斯突出一直是煤矿安全生产的重大隐患,具有突发性强、可预测性差的特点,一旦没有合理及时的解决,将会导致灾难性的后果。支持向量机是一种新型的统计算法,其最大的特点是不需要建立精确的数学模型,这使得它可以应用在许多外部干扰条件复杂的场合。本文以支持向量机算法为基础,建立的瓦斯突出预测模型,为瓦斯突出的预测工作的发展起到了一定的参考作用和借鉴意义。

Gas outburst has always been a major hidden danger in coal mine production safety. It has the characteristics of sudden and poor predictability. If there is no reasonable and timely solution, it will lead to disastrous consequences. SVM is a new type of statistical algorithm. The biggest feature of SVM is that it does not need to build an accurate mathematical model, which makes it suitable for many situations with complex external disturbance conditions. In this paper, the prediction model of gas outburst based on support vector machine (SVM) algorithm plays a certain reference and reference for the development of gas outburst prediction.