Research on water pollution prediction of township enterprises based on support vector regression machine

The construction and development of township enterprises plays a key role in promoting the rural economy. With implementation revitalization strategy, develop rapidly, but there are problems process that have negative impact on quality local water environment. Rural environment is related to health farmers, healthy agriculture sustainable areas, so it necessary predict pollution enterprises. application support vector regression forecasting model prediction can better with characteristics complexity, nonlinear small sample. This intelligent method will help scientifically prevent from having