Application of GA-NN model for evaluation of water environment carrying capacity in Baoding City
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Abstract:
The assessment of water environmental carrying capacity (WECC) is of great[JP] significance to the healthy and sustainable development of regional water environment and human society and economy.In order to study the WECC of Baoding City,10 evaluation indexes were selected based on correlation analysis and principal component analysis.A GA-NN evaluation model of back-propagation neural network (BP-NN) optimized by genetic algorithm (GA) was established and compared with BP-NN evaluation model.Finally,the evaluation model was applied for assessment of WECC.The results revealed that the WECC of Baoding City showed an increasing trend from 2001 to 2016.Although the carrying capacity of water environment increased,but it was still at a weak level.Compared with the unoptimized BPNN,the GA-NN evaluation model showed higher fitting accuracy,more stable fitting error and stronger generalization ability,and it can be used as a simple and effective method for evaluating the WECC.
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