提出了一种基于粒子群的三次样条插值算法,详细阐述了该算法应用于矿压缺失数据插值时的实现步骤和基本流程.该算法具有三次样条插值方法良好的分段光滑性,同时具有粒子群算法参数少、易于实现的优点.对相同地点不同工作面、不同地点不同工作面的矿压缺失数据插值的应用实例分析表明,该算法对矿压缺失数据的插值是有效的；与目前几种常用的缺失数据插值方法的比较结果表明,该算法更加准确、有效.%A cubic spline interpolation algorithm based on particle swarm was proposed, and implementation steps and basic flow chart of the algorithm were described in details in application of interpolating missing mine pressure data. The algorithm has good piecewise smoothness of cubic spline interpolation method and advantages of few parameters and easy realization of particle swarm algorithm. Application examples of interpolation of missing coal mine pressure data of different working faces at same places and different working faces at different places showed that the algorithm is effective. The comparison results with present missing data interpolation methods showed that the algorithm is more accurate and effective.
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