摘要
自仿分形插值函数作为数据拟合工具,能较好地拟合复杂度较高的曲线图形;但是在拟合过程中如何选择一组合适的纵向压缩因子进行匹配,仍然是一项繁琐的工作;针对这一难点,尝试利用遗传算法的全局最优化过程寻求一组合适的纵向压缩因子,以实现对复杂度较高的曲线图形的较佳分形拟合。
When fractal interpolation functions are used to fit the graph of a continuous function with high complexity,the corresponding vector of vertical factors,which determine the fractal interpolation function uniquely,is often difficult to he selected. A method based on the genetic algorithm to find the best fractal interpolation function to fit the graph is studied with experiment in this paper.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第13期196-198,共3页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.10671180)
关键词
曲线拟合
自仿分形插值函数
遗传算法
curve fitness
affine fractal interpolation function
genetic algorithm
