摘要
对现有的冷却塔运行性能评价方法进行了综述 ,指出其各自存在的问题。采用人工神经网络中相对成熟的RBF网络建立了冷却塔特性的数学模型 ,并与常规的线性和非线性模型进行了比较 ,结果表明采用RBF网络能更准确地反映冷却塔的性能。为评价冷却塔运行性能 ,提供了一种更准确。
A brief description is given of existing appraising methods for the performance of cooling tower and their shortcoming firstly. Then the mathematics model of cooling tower operation performance is given by means of the relative perfect RBF neural networks. Comparing with the usual linearity and non-linearity cooling tower mathematics model, the RBF neural networks mathematics model can more truly reflect cooling tower operation performance. This conclusion is valuable for giving a more true and simple method for appraising the operation performance of cooling tower.
出处
《汽轮机技术》
北大核心
2002年第1期5-7,共3页
Turbine Technology
