The Design of a Fractal-based Number Generator

C. Huang, Shu-Chen Cheng, Yueh-Min Huang
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Abstract

This study is to investigate a number generator based on the curve or fold input and use it to simulate and verify the real world events. The main technology is to use and modify the principle and characteristics of fractal interpolation, in combination of our developed Affine Function of Vertical Distance Selection Method and Initial Point Selection Method, as well as various linear data characteristics of the input curves and folds, in order to obtain a series of numbers consistent with the undulation of these curves or folds. Since this method is produced based on Fractal related principles, we call it Fractal Number Generator. From the similarity comparison result between the simulation experimental data and original input data, it can be sure that no matter in simple statistical curve or complex statistical curve, Fractal Number Generator is of extremely high similarity with the original input curves or folds, so Fractal Number Generator can really have the simulation experimental data much more consistent with the curve distribution of historical data and endow the simulation process and result with more reference value.
基于分形的数字生成器的设计
本研究是研究一个基于曲线或折叠输入的数字生成器,并使用它来模拟和验证真实世界的事件。其主要技术是利用和修改分形插值的原理和特点,结合我们开发的垂直距离选择方法的仿射函数和初始点选择方法,以及输入曲线和褶皱的各种线性数据特征,以获得与这些曲线或褶皱的波动相一致的一系列数字。由于这种方法是基于分形的相关原理产生的,我们称之为分形数发生器。从仿真实验数据与原始输入数据的相似性比较结果可以确定,无论在简单的统计曲线还是复杂的统计曲线上,分形数发生器与原始输入曲线或褶皱都具有极高的相似性。因此,分形数生成器可以真正使仿真实验数据更加符合历史数据的曲线分布,赋予仿真过程和结果更多的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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