An evaluation model of a sponge city based on index normalized probabilistic neural networks
Due to errors in evaluation and calculation indicators of sponge cities,the range and normal-ization methods are employed to render standardized values with equivalent properties.Based on the stand-ardized transformation of indicators,a sponge city evaluation model of probabilistic neural network is es-tablished,and the model is applied to sponge cities in Xiamen and Zhengzhou.Results are consistent with the evaluation of literature,but calculation is simple with strong universality.
sponge citynormalization of indexprobabilistic neural networkevaluation model
万方数据
维普
