摘要
针对高空气象探测数据变化规律复杂、突变情况不可预测、数据量大等特点,采用基于遗传算法确定节点矢量的B样条曲线拟合方法,并提出优化染色体的产生方式,加速算法的收敛效率,实现了在给定误差要求下,用较少控制点的B样条曲线拟合高空气象探测数据曲线,并通过对气温-高度曲线特征点的拟合效果证明了算法的可行性。
According to the character of the large number and complex and unpredicted trend on change of the meteorological detecting data,this paper uses the B-spline curve fitting with genetic algorithm to calculate the knots,proposes the method of optimizing the creation of chromosome to improve the converging efficiency,realizes that the B-spline curve with less control point can fit the meteorological detecting data curve,and the validity has been proved by the result of fitting the feature point from temperature-height curve.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第23期21-24,共4页
Computer Engineering and Applications
基金
国家自然科学基金No.10771031~~
关键词
B样条曲线
遗传算法
气象探测
B-spline curve
genetic algorithm
meteorological detection
