The application of improved BP neural network algorithm in urban air quality prediction: Evidence from China

Proceedings - 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008

Volumn 2, Issue , 2008, Pages 160-163

  Qing, Chen ^a   Yuxiang, Shao ^b  

^a WUHAN INSTITUTE OF TECHNOLOGY   (China)

^b CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BP-NEURAL NETWORKS; BROAD APPLICATIONS; CONVERGENCE SPEED; IMPROVED BP NEURAL NETWORKS; LEARNING RATES; LOCAL MINIMUMS; MOMENTUM FACTORS; NEW MODELS; URBAN AIR QUALITIES; URBAN AIR QUALITY ASSESSMENTS;

AIR QUALITY; BACKPROPAGATION ALGORITHMS; CONCRETES; CONVERGENCE OF NUMERICAL METHODS; INDUSTRIAL APPLICATIONS; INTELLIGENT CONTROL; LEARNING ALGORITHMS;

NEURAL NETWORKS;

EID: 63149102057     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACIIA.2008.401     Document Type: Conference Paper

References (6)

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3. Zhou Xiujie , Su Xiaohong , Yuan Meiying (2004). "Forecast of air pollution index based on BP neural network". Journal of Harbin Institute of Technology. Vol. 36, No. 5, pp.582-585.
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5. Xie Lichun (2007). BP Neural Network Algorithm Improvements and Convergence Analysis. Computing Technology and Automation. Vol. 26, No. 3, pp.52-56.
6. Bai Xiaopin, Li Hong, Zhang Qiming, (2006). "Progress of Research on Artificial Neural Network in Air Pollution Prediction". Science&Technology Review, Vol. 24, No. 12, pp.77-81.