基于支持向量机的煤炭储量精确算法

针对目前煤炭储量估计方法的局限性，提出了基于支持向量机的煤炭储量精确算法.通过已知钻孔数据采用支持向量回归方法构造区域煤厚与密度模型，根据点与多边形关系判别算法剔除区域外部点，由区域积分求和得到精确的煤炭储量.列举了2个不同类型煤矿的储量计算实例，分别构造了三维煤厚分布图，实例结果表明了方法的可靠性和优越性.

An accurate algorithm for estimation of coal reserves based on support vector machine

Aiming at the limitation of the present methods of coal reserves estimation,presented an accurate algorithm for estimation of coal reserves based on support vector machine.By building the coal thick model and bulk density model through the known drilling data,and eliminating the outer points according to the relation between points and polygon,the accurate coal reserves was calculated by adding all the reserves values of the small grid.Two examples for different type of coal mine were listed and three-dimensional mineral distribution maps were plotted.The examples validates the reliability and advantages of the method proposed.