In a lot of practical problems, one often encounters the extreme problem of continuous functions.
在很多实际问题中，会遇到求连续函数的极值问题。
We introduce the concepts of semi-open sets and semi-continuous functions, and discuss some of their properties in fuzzifying topology.
给出了不分明化拓扑空间中半开集和半连续函数的概念，并讨论了它们的某些性质。
Well-bounded operators are those which possess a bounded functional calculus for the absolutely continuous functions on some compact intervals.
良有界算子是这样一类算子，它对于在某个紧区间上绝对连续的函数具有有界的函数演算。
In practice, rough variables may not be real number values, and their values may be continuous functions, bounded variation functions and so on.
在实际中，粗糙变量不一定是实值，他们的值有可能是连续函数、有界变差函数等等。
In this paper, we introduce a new concept of generalized derivative, and derive its operational rules and the mean value theorem of continuous functions.
文章提出了一种广义导数的概念，得到了广义导数的运算法则，以及连续函数的中值定理。
The algorithm is a random searching algorithm in nature. It can converge to the global minima more probability and be adept in continuous functions optimization.
该算法本质上是一种随机搜索算法，并能以较大概率收敛到全局最优，特别适用于连续函数的优化。
It is an approximate algorithm of continuous Fourier transform in which some approaching functions of segments are approximately used instead of continuous functions.
它是一种用分段逼近函数近似代替连续函数，作连续傅氏变换的近似算法。
The system that all its variables are continuous functions of time is called continuous-variable or analog system; the describing equations are differential equations.
如果系统的变量都是时间的连续函数，就称为连续变量系统或者模拟系统，其描述方程为微分方程。
According to this theory, we know that partially connected higher-order neural networks can approximate any continuous functions as fully connected neural networks can do.
根据这个理论，可知稀疏或部分连接的高阶神经网络象全连接的网络一样能够逼近任意连续函数。
Thus, such searches are typical optimizations of complicated continuous functions. A new method namely Continuous Ant Colony Algorithm is introduced to solve this problem.
本文就此提出一种新的解决连续函数优化问题的连续型蚁群算法，它具有简单易实现且计算效率高等特点，特别适用于复杂工程优化问题。
This paper presents a new sufficient condition under which the linear t s fuzzy systems can uniformly approximate any real continuous functions defined on a compact set to any degree of accuracy.
提出了线性t -S模糊系统以任意精度一致逼近紧致集上任意连续实函数的一个充分条件，并给出了数值示例。
This paper presents a new sufficient condition under which the linear t s fuzzy systems can uniformly approximate any real continuous functions defined on a compact set to any degree of accuracy.
提出了线性t -S模糊系统以任意精度一致逼近紧致集上任意连续实函数的一个充分条件，并给出了数值示例。
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