NDLI: Higher-Order Multivariate Markov Chains Based on Particle Swarm Optimization Algorithm for Air Pollution Forecasting

Content Provider	IEEE Xplore Digital Library
Author	Zhilong Wang Zengtai Gong Weigang Zhao Wenjin Zhu
Copyright Year	2009
Abstract	This paper presents a higher-order multivariate Markov chain model combined with particle swarm optimization algorithm. Due to some deficiencies, such as only considering the maximum probability while ignoring the effect of the other probabilities, the traditional method of probability distribution has been replaced by the level characteristics value of fuzzy set theory; further more Particle swarm optimization algorithm has been employed to optimize the coefficient of level characteristics value. In recent years, air pollution acutely aggravates chronic diseases in mankind, such as sulfur dioxide pollution which plays a most important role in acid rain. In order to confront air pollution problems and to plan abatement strategies, both the scientific community and the relevant authorities have focused on monitoring and analyzing the atmospheric pollutants concentration. Taking the forecast of air pollutants as a case, we illustrate the improvement of accuracy and efficiency of the new method and the result shows the new method is predominant in forecasting of multivariate and non-linear data.
Starting Page	42
Ending Page	46
File Size	400275
Page Count	5
File Format	PDF
ISBN	9780769536996
DOI	10.1109/APCIP.2009.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mean-Standard deviation division method Stochastic processes Level characteristics value Birds Educational institutions Probability distribution Particle swarm optimization Diseases Information science Information processing Particle swarm optimization algorithm Air pollution Higher-order multivariate Markov chain Marine animals
Content Type	Text
Resource Type	Article

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