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Atmospheric Environmental Quality Assessment RBF Model Based on the MATLAB
School of Mathematics and Physics Changzhou University, Changzhou, China
School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China
School of Mathematics and Physics Changzhou University, Changzhou, China
School of Mathematics and Physics Changzhou University, Changzhou, China
- 1 School of Mathematics and Physics Changzhou University, Changzhou, China
- 2 School of Environmental Science and Engineering, Guangzhou University, Guangzhou, China
- 3 School of Mathematics and Physics Changzhou University, Changzhou, China
- 4 School of Mathematics and Physics Changzhou University, Changzhou, China
Journal of Environmental Protection·Volume 03 (2012)·Pages 689–693·Published 18 July 2012·DOI10.4236/jep.2012.37081
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Abstract
A new method-RBF model is found to assess the atmospheric quality by use of the PREMNMX function in MATLAB to pretreat the original data and the RAND function to construct enough training samples, checking samples and outputs of their targets through linear interpolation between grades of the atmospheric quality evaluation standard. A favorable assessment result is achieved by applying this method to assess atmospheric environmental quality in a city, which shows this new method is meaningful in improving the precision and scientificity of atmospheric environmental quality assessment.
KeywordsAtmospheric Environmental Quality AssessmentThe BP NetworkThe RBF NetworkArtificial Neural Network
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