PM2.5 Generation and Evolution Model Based on Genetic Algorithm and BP Neural Network

doi:10.3969/j.issn.1006-2475.2014.03.005

Abstract

Abstract: The problem of PM2.5 has become an atmospheric research hotpot in recent years. This paper analyzes the generation reasons and influncing factors of PM2.5 based on the data of PM2.5 in Xi’an (2013.01.012013.04.26), and builts the generation and evolution mode of PM2.5 in Xi’an, using genetic algorithm and BP neural network. Finally, the model’s effectiveness, versatility and reliability are validated by experiments.

Key words: PM2.5, generation and evolution model, genetic algorithms, BP neural network

CLC Number:

TP301.6

]YANG Qi-kai, ZHANG Gui-qiang, ZHANG Jing-ming. PM2.5 Generation and Evolution Model Based on Genetic Algorithm and BP Neural Network[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2014.03.005.

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PM2.5 Generation and Evolution Model Based on Genetic Algorithm and BP Neural Network

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