Urban air quality based on Bayesian network

In the recent years, the rapid increase of industrial pollution, scientific evaluation of air quality is an important research topic. This is the Bias network applied to the city air quality evaluation of air quality characteristics, establish a directed acyclic graph (DAG), and the air quality data of Shanghai for training and validation, the experimental results coincide with the actual situation, the accuracy rate reached 99.3169%, that Bias network used in the feasibility and effectiveness of the air quality evaluation.