Abstract
Research for the decoupling of oil use from GDP growth has significance meaning to promotion and implementation of energy conservation in Northeast China. According to the calculation formula of decoupling index (Dr), the Dr of Northeast China are calculated respectively in 2000-2012, respectively. Radial Basis Function (RBF) neural network forecasting model is established, and the accuracy of the model is verified. Using the model to predict the Dr value 2013 - 2020. The results show that: the values of Dr are greater than 0 in Northeast China, where the Jilin average annual Dr is the maximum value about 0.97. RBF neural network forecasting results shows that Dr is greater than 0 in 2013-2020, and no-decoupling state doesn't appear.
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