Prediction of Vegetation Coverage in Taitema Lake Area Based on Neural Networks
Taitema Lake is the tail lake of the Tarim River and the Cherchen River.It is the only lake in the lower reaches of the Tarim River.It is of practical significance to study the suitable area of Taitema Lake and its relationship with vegetation coverage for the fine management of ecological water in the lower reaches of Tarim River.Based on the inflow of the main stream of the Tarim River,the area of Taitema Lake and the discharge of Daxihaizi Reservoir as input neurons,and vegetation coverage as output,BP neural network and RBF neural network models are established to simulate and predict respectively.The results of simulation and prediction show that the effect of BP neural network is better.
Taitema Lakevegetation coverageBP neural networkRBF neural networkTarim River
万方数据
维普
