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。
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 contrast to traditional estimate distribution algorithm, parallel EDAs has greatly improved the efficiency when optimizing continuous functions and real time questions.
相对于传统的概率分布估计算法，并行的概率分布估计算法在解决连续函数优化及实时优化问题时能提供极大程度的效率提高。
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