ANFIS神经网络在城市大气SO_2含量预测中的应用

Predict Application of City SO_2 Content Based on ANFIS Neural Network

分析自适应神经模糊推理系统(ANFIS)的构造,经过网络设计、初始化、训练等步骤,构成网络预测系统。利用该系统模型对某城市大气中SO2含量进行预测。结果表明:自适应神经模糊推理系统用于大气污染物含量预测可行,具有一定的实用价值。

Analyze the structure of ANFIS （Adaptive Neural Fuzzy Inference System）, and the prediction system is built by a series of work such as the design of network, the initialization of parameters and the training of network. The result of prediction of SO2 content shows that ANFIS can be used to predict the air pollution content. The method is practical.