%0 Journal Article
	%A Liu Zhiyuan and  Sun Zongdi
	%D 2017
	%J International Journal of Economics and Management Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 123, 2017
	%T The Carbon Trading Price and Trading Volume Forecast in Shanghai City by BP Neural Network
	%U https://publications.waset.org/pdf/10006647
	%V 123
	%X In this paper, the BP neural network model is established to predict the carbon trading price and carbon trading volume in Shanghai City. First of all, we find the data of carbon trading price and carbon trading volume in Shanghai City from September 30, 2015 to December 23, 2016. The carbon trading price and trading volume data were processed to get the average value of each 5, 10, 20, 30, and 60 carbon trading price and trading volume. Then, these data are used as input of BP neural network model. Finally, after the training of BP neural network, the prediction values of Shanghai carbon trading price and trading volume are obtained, and the model is tested.

	%P 628 - 634