Economic Analysis of Garbage Recycling Path Optimization——Taking Chengdu City as an Example
Chengdu city is a new first tier city in China,in recent years,with the rapid development of the social economy,the amount of garbage generated has increased significantly.The optimization of garbage recycling paths is crucial for the sustainable development of cities.Taking Chengdu city as an example,combined with the current situation of garbage classification and recycling,the grey model and Back Propagation(BP)neural network model are used to predict the amount of garbage generated,and the minimum spanning tree model is used to plan the optimal path,and the Internet of Things technology is used to improve transportation turnover efficiency and achieve zero inventory.With the optimization of the garbage recycling path,Chengdu city can better achieve the dual dividends of resource utilization and environmental protection.
optimization of garbage recycling patheconomic analysisgrey modelBack Propagation(BP)neural network modelminimum spanning tree
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