Based on Data Mining Technologies in Urban Water Supply Analysis and Decision
|School||Sun Yat-sen University|
|Keywords||Data Mining Water supply Regression Analysis Neural Network Time series analysis|
In the current environment, promote environmental conservation, low-carbon life, low power consumption , saving resources has become an important social topic , is to Guangzhou urban water supply situation as the research object , because subtropical Guangdong Province , most parts of the subtropical monsoon climate , long summer and warm in winter , rainfall, is a typical medium-sized cities , the study has some practical value. According to the relevant water supply and other parameters , production scheduling for the future production plans , through the use of data mining, computational methods , and the total water supply for the future water supply of water districts to make scientific predictions , the analysis can improve production efficiency consumption, set a reasonable marketing plan, put forward reasonable solution to this problem has practical significance. This article is based on the inherent characteristics of the data , the data from multiple foothold analysis and forecasting for different corresponding adjustment to the actual situation , the use of a simple prediction method to achieve modern algorithms and complex algorithms predicted effect on the situation is complicated but with a certain law data processing and forecasting has certain reference value.