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Atmospheric Environmental Quality Assessment RBF Model Based on the MATLAB

DOI: 10.4236/jep.2012.37081, PP. 689-693

Keywords: Atmospheric Environmental Quality Assessment, The BP Network, The RBF Network, Artificial Neural Network

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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.

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