提出一种基于极大熵和声搜索(HS)的非线性方程组求解算法。
This paper presents an improved solution algorithm for nonlinear equations based on maximum entropy Harmony Search (HS) algorithm.
研究了非线性参数系统模型的识别问题，通过引入求解线性方程组的松驰法思想，构造了一类新的迭代识别算法。
A nonlinear system parameters identification problem is investigated in this paper by introducing a relaxation method used for solving the linear equations of the system.
因为其借助计算机快速求解方程的优点，使得对非线性方程组在一定精度内的求解成为可能。
The high capacity of fast solving equations of the computer make it possible to solve nonlinear equations within a certain precision.
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