经典的粒子群优化算法是一个在连续的定义域内搜索数值函数极值的很有效的方法。
The classical Particle swarm optimization (PSO) algorithm is a powerful method to find the minimum of a numerical function, on a continuous definition domain.
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.
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