基于最小二乘法的水文地质参数计算

为了同时求取含水层水文地质参数中的渗透系数和贮水系数,以最小二乘法为理论基础,提出了采用定流量非稳定流泰斯公式,结合Excel的规划求解功能来进行参数计算的一种新方法。结果表明:该方法操作简单,运算速度快,能同时计算多个参数,工作量相对较小,对水文地质工作者有一定的借鉴作用。     

井下三角高程测量的多元线性回归分析

通过对井下三角高程测量的原理、误差来源及精度分析,指出钢尺量取仪器高和棱镜高的误差对三角高程测量结果的影响,提出一种利用多元线性回归减小该误差影响的算法,并通过实例对三角高程测量结果进行改正,验证了该算法用于提高井下三角高程测量精度是可行的。     

Application of neural network model coupling with the partial least-squares method for forecasting watre yield of mine

Scientific forecasting water yield of mine is of great significance to the safety production of mine and the colligated using of water resources. The paper established the forecasting model for water yield of mine, combining neural network with the partial least square method. Dealt with independent variables by the partial least square method, it can not only solve the relationship between independent variables but also reduce the input dimensions in neural network model, and then use the neural network which can solve the non-linear problem better. The result of an example shows that the prediction has higher precision in forecasting and fitting.