摘要
分析了当前矿井风温预测的计算方法,引入了n维空间的埃特金加速迭代法,证明了其多变量同时迭代明显优于传统的多变量分步迭代,算法时间复杂度由O(n2)减为O(n),迭代收敛速度得到提高.采用面向对象的Visual C++6.0语言,设计开发了基于n维空间的埃特金加速迭代法的矿井风温预测软件,建立了相应的矿井风温预测数据库,实现了矿井风温的计算机预测分析与信息管理.应用结果表明,该算法收敛速度快、计算精度高,是求解矿井风温预测非线性模型的最有效方法之一.
The current algorithms for forecast of the mine airflow temperature were analyzed, and a n-dimensional Aitken accelerated iteration algorithm was introduced. That the simultaneous iteration of multi variables is obviously advantageous to the step iteration was proved, with the time complexity being reduced from O（n^2） to O（n） and the iterative speed quickened. Based on the algorithm mentioned above, a program of forecasting mine airflow temperature was designed using the object-oriented Visual CA-A-6.0. The forecast analysis and information management of mine airflow temperature using computer were realized. The results show that the algorithm with a faster convergence speed and higher computation precision is one of the most available methods for solving the nonlinear models of airflow temperature forecast in coal mines.
出处
《采矿与安全工程学报》
EI
北大核心
2006年第2期233-235,共3页
Journal of Mining & Safety Engineering
关键词
风温预测
迭代收敛加速
埃特金迭代法
n维向量方程
程序设计
airflow temperature forecast
accelerated iterative convergence
Aitken iteration
n-dimensional vector equations
program design
