Zhang fractals yielded via solving nonlinear equations by discrete-time complex-valued ZD

Huarong Wu, Fen Li, Zhan Li, Yunong Zhang
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引用次数: 5

Abstract

In this paper, a novel kind of new fractals, named Zhang fractals, is yielded by using the discrete-time complex-valued Zhang dynamics (DTCVZD) to solve the nonlinear equations in the complex domain. Such a novel DTCVZD model is designed based on the elimination of an indefinite complex-valued error function, instead of a square-based non-negative energy function associated with the discrete-time complex-valued gradient-based dynamics (DTCVGD). Comparing with the well-known (generalized) Newton fractals (i.e., the famous fractals generated by the well-known Newton iteration), we find that the novel Zhang fractals synthesized by the proposed DTCVZD model incorporate such Newton fractals as special cases. The Zhang fractals generated by the novel DTCVZD model are completely different from Newton fractals. The DTCVZD model using different types of activation functions can be seen as a new iterative algorithm to generate new fractals, i.e., Zhang fractals.
用离散时间复值ZD方法求解非线性方程得到张分形
本文利用离散时间复值张氏动力学(DTCVZD)求解复域中的非线性方程,得到了一类新的分形——张氏分形。这种新的DTCVZD模型是基于消除一个不定的复值误差函数,而不是与离散时间复值梯度动力学(DTCVGD)相关的基于平方的非负能量函数。与著名的(广义的)牛顿分形(即由著名的牛顿迭代生成的著名分形)相比,我们发现由所提出的DTCVZD模型合成的新颖张分形将牛顿分形作为特例。新的DTCVZD模型生成的张分形与牛顿分形完全不同。使用不同类型激活函数的DTCVZD模型可以看作是一种新的迭代算法来生成新的分形,即张分形。
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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