E3S Web Conf.
Volume 228, 20212020 International Conference on Climate Change, Green Energy and Environmental Sustainability (CCGEES 2020)
|Number of page(s)||5|
|Section||Climate Change and Environmental Ecological Sustainable Development Analysis|
|Published online||13 January 2021|
Research on water pollution prediction of township enterprises based on support vector regression machine
School of Business, Hohai University, Nanjing 211100, China
2 Project Management Institute, Hohai University, Nanjing 211100, China
3 Construction Management Department, Shandong Water Transfer Engineering Co., LTD., Jinan 250101
The construction and development of township enterprises plays a key role in promoting the development of rural economy. With the implementation of the rural revitalization strategy, township enterprises develop rapidly, but there are problems in the development process that have a negative impact on the quality of local rural water environment. Rural water environment is related to the health of farmers, the healthy development of agriculture and the sustainable development of rural areas, so it is necessary to predict the water pollution of township enterprises. The application of support vector regression forecasting model to the prediction of water pollution of township enterprises can better predict the water pollution of township enterprises with the characteristics of complexity, nonlinear and small sample. This intelligent forecasting method will help to scientifically prevent the development of township enterprises from having negative impact on the quality of local water environment.
© The Authors, published by EDP Sciences, 2021
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