Research of Coastal Area Ecological Economic System Based on Stochastic Gradient Regression

Coastal area was defined as the conjunction of land and sea and it had very important ecological, economic and social value. Because the economy developed fast and demand of resource increased heavily, there were serious pressures on the ecological economic system of coastal area, such as large amount land-sourced pollutant and unreasonable fishing. The gross output value of fishery at Tianjin, which is a seaside city of Pohai, was studied in order to analyze the influence on the ecological economic system of coastal area from those stress factors. Prediction model of the gross output value of fishery at Tianjin was established by stochastic gradient regression algorithm. The influence on the system from those stress factors was analyzed by the model. Comparing to the prediction results of models using support vector machine method and adaptive spline regression model, it was concluded that stochastic gradient regression method performed better.