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The Design of a Fractal-based Number Generator

机译:基于分形的数字生成器的设计

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摘要

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.
机译:这项研究旨在研究基于曲线或折痕输入的数字生成器,并使用它来模拟和验证现实世界中的事件。主要技术是结合我们开发的垂直距离选择方法和初始点选择方法的仿射函数,以及输入曲线和折线的各种线性数据特征,依次使用和修改分形插值的原理和特性。以获得与这些曲线或折痕的起伏一致的一系列数字。由于此方法是基于分形相关原理产生的,因此我们将其称为分形数生成器。从模拟实验数据和原始输入数据之间的相似性比较结果可以确定,无论是简单统计曲线还是复杂统计曲线,分形数生成器都与原始输入曲线或折痕具有极高的相似性,因此分形数生成器实际上可以使模拟实验数据与历史数据的曲线分布更加一致,并赋予模拟过程和结果更多的参考价值。

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