计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (13): 196-198.
• 图形、图像、模式识别 • 上一篇 下一篇
汪 沁,金 敏,奚李峰
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WANG Qin,JIN Min,XI Li-feng
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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。
关键词: 曲线拟合, 自仿分形插值函数, 遗传算法
Abstract: 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 be 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.
Key words: curve fitness, affine fractal interpolation function, genetic algorithm
汪 沁,金 敏,奚李峰. 基于遗传算法的图形的分形拟合[J]. 计算机工程与应用, 2008, 44(13): 196-198.
WANG Qin,JIN Min,XI Li-feng. Fractal interpolation fitness of graph based on genetic algorithms[J]. Computer Engineering and Applications, 2008, 44(13): 196-198.
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