汽包水位的模糊神经网络预测模型研究

Fuzzy Neural Network Predictive Model For Boiler's Level Control

针对汽包水位的时滞、非线性特性,用模糊神经网络建立了它的d步预测模型。详细介绍了建模的机理和模型结构,并用C语言编程进行了实验,验证了汽包水位模糊神经网络建模的可行性。

Ad steps expectation model of boiler water levels is set up, by using the fuzzy neural networks, aiming at its characteristic of time lag and non-linearity. The mechanism of modeling and model structure are introduced particularly, and an experiment by C programming is carried out. It validates the feasibility of modeling by fuzzy neural networks about boiler water levels.