A rough set based PSO-BPNN model for air pollution forecasting

doi:10.1109/ICNC.2009.291

	A rough set based PSO-BPNN model for air pollution forecasting
	Wang, Zhilong 1; Gong, Zengtai 2; Zhu, Wenjin 3; Zhao, Weigang 3
	2009
会议名称	5th International Conference on Natural Computation, ICNC 2009
会议录名称	5th International Conference on Natural Computation, ICNC 2009
卷号	3
页码	357-361
会议日期	August 14, 2009 - August 16, 2009
会议地点	Tianjian, China
出版者	IEEE Computer Society
摘要	Based on rough set theory, a multilayer back propagation neural network (BPNN) whose parameters will be trained and optimized by particle swarm optimization (PSO) is presented here. Making use of the intelligence of RS in knowledge acquisition aspect, this method carries out a pretreatment on the BPNN data, extracts the regulation from large amount of original data, predigests the nerve basics in neural networks, facilitate the neural networks structure, then employ PSO to the weight parameter and finally improve systematic speed and forecasting accuracy. After data pretreatment and attribute reduction by employing RS theory, the noise data and weak interdependency term are eliminated, so the influences during the initialization, study and training process are avoided, and then the weight parameters of each nerve cell have been optimized through PSO, as a result the accuracy of predictions is developed and proved by the evidence of forecasting with time series from the concentration of air pollutant. © 2009 IEEE.
关键词	Air pollution Backpropagation Computation theory Forecasting Multilayer neural networks Neurons Particle swarm optimization (PSO) Air pollution forecasting Attribute reduction BPNN Data pre treatments Forecasting accuracy Multilayer back propagation Neural networks structure Weight parameters
DOI	10.1109/ICNC.2009.291
收录类别	EI
语种	英语
EI入藏号	20101512844002
EI主题词	Rough set theory
来源库	Compendex
分类代码	451 Air Pollution - 461.9 Biology - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/117164
专题	兰州理工大学
作者单位	1.Dept. of Basic Courses, Lanzhou Polytechnic College, Lanzhou, China; 2.College of Math. and Information Science, Northwest Normal University, Lanzhou, China; 3.School of Mathematics and Statistics, Lanzhou University, Lanzhou, China
推荐引用方式 GB/T 7714	Wang, Zhilong,Gong, Zengtai,Zhu, Wenjin,et al. A rough set based PSO-BPNN model for air pollution forecasting[C]:IEEE Computer Society,2009:357-361.