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Application Research on Cubic Spline Interpolation Based on Particle Swarm Optimization in Mine Pressure Missing Data

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5 Author(s)
Sun Gang ; Sch. of Comput. & Inf., Fuyang Teachers Coll., Fuyang, China ; Wang Feng ; Wang Xiuyou ; Wang Hao
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To interpolate mine pressure missing data, it is proposed that cubic spline interpolation algorithm based particle swarm optimization. The algorithm use particle swarm optimization to solve the coefficients of cubic spline interpolation function, in order to reduce the tedious of solving the coefficients of cubic spline interpolation. By the analysis of the interpolation of mine pressure missing data in different working face in same place, and difference working face in difference place, the interpolated results and the actual values are close, therefore, it is effective that cubic spline interpolation algorithm based on particle swarm optimization for the interpolation of mine pressure missing data.

Published in:

Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on  (Volume:3 )

Date of Conference:

26-27 Nov. 2011