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Based on Data Mining Technologies in Urban Water Supply Analysis and Decision

Author: WuWenBin
Tutor: ZhouXiaoCong
School: Sun Yat-sen University
Course: Software Engineering
Keywords: Data Mining Water supply Regression Analysis Neural Network Time series analysis
CLC: F299.24;F224
Type: Master's thesis
Year: 2011
Downloads: 49
Quote: 0
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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.

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CLC: > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods
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