Neural networks has the properties of a complex dynamic system, the prerequisite condition of it been used in many field is that it has some qualitative properties such as stability, convergence.
动态神经网络具有复杂力学系统的特性，这决定了它被实际应用的前提是具有较好的一些定性性质，如：稳定性、收敛性等。
The concepts of second order fuzzy random variables and mean square convergence of sequences of fuzzy random variables are introduced. Some related properties are proved.
给出二阶模糊随机变量和模糊随机变量序列均方收敛的概念，证明了一些相关的性质。
We bring about the concept of matrix continued roots, discuss the properties of matrix continued roots, and obtain some results for the convergence of the matrix continued roots.
提出了矩阵连根式的概念，研究了矩阵连根式的性质，获得了关于矩阵连根式序列收敛性的一些结。
In this paper, we discuss the properties of matrix continued fractions, and obtain some results for the convergence of the sequence of matrix continued fractions.
本文研究了矩阵连分式的性质，获得了关于矩阵连分式序列收敛性的一些结果。
This paper gives the form and some properties of the exact penalty function, convergence theorem of the algorithm and numerical examples.
作者提出了精确罚函数的构造，讨论了它的性质，证明了算法的收敛性，并给出了数值计算实例。
Some improved parameter estimation algorithms are presented , their convergent properties are proved by using the martingale convergence theorem .
围绕这两个方面给出了一些改进的参数估计算法，并用鞅的各种收敛理论对之进行了严格的数学证明。
Some improved parameter estimation algorithms are presented , their convergent properties are proved by using the martingale convergence theorem .
围绕这两个方面给出了一些改进的参数估计算法，并用鞅的各种收敛理论对之进行了严格的数学证明。
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