一种基于模糊神经网络的大气质量评价模型

A Model for Air Quality Assessment Based on Fuzzy Neural Network

基于模糊数学评价法和神经网络评价法的优点,提出了一种新的大气质量评价模型。该模型具有推理过程清晰,泛化能力好的特点。与其它评价方法相比,应用该模型进行大气质量评价不但物理意义明确,而且计算简单,评价客观,实用性强,评价结果还具有更好的可比性。

On the basis of the merits of fuzzy judgment and neural network judgment,a new model for air quality assessment is proposed.The model has many characteristics,such as distinct reasoning,better generalization capabilities and so on.Comparing with other assessment methods,not only does this model express the physical meaning clearly,but also is capable of computing simply,assessing objectively,practicing strongly,as well as the superior comparability of results.