中文摘要：

提出了一种基于模糊聚类分析和神经网络辨识冷却塔内两相流流态的新方法。借助聚类分析方法所得的结果和获得的隶属度，利用神经网络进行流态辨识。结果表明：这种方法具有较高的精度和运行速度，为实现冷却塔实时控制提供了一种有效的手段。

英文摘要：

A new method of two phase flow regime identification in the cooling tower is presented through using fuzzy classification theory and neural net works. According to the result of classification and degree of subordination, flow regimes are distinguished through neural net works. The result shows： the method is more accurate and it＇s speed of running is more rapid. It provides an effective means to control the cooling tower at all times.