摘要
列用BP神经网络和线性神经网络,进行了成品油价格的预测.应用某炼油厂的两种原料油胜利原油和进口原油的价格、90#汽油的产量、销量、0#柴油的产量、销量共6个变量为输入矢量,预测了该炼油厂90#汽油和0#柴油这两种成品油的价格.
Nowadays, with the degree of market increasingly developed, predicting the price of oil products has a very important significance. Using the result of prediction, Oil-refining Corporation can predict its outcome, adjust its productive scheme, and maximize its profit. Neural network, as an important decision technology sprouted in the 1940s, can offer satisfactory simulated result and doesn＇t need to establish mathematical models, so it has colossal superiority to other mathematical models. The article chooses BP neural network and linear neural network to predict the price of oil product. Applying the data of one refinery, including the price of Shengli crude oil and imported crude oil, the output and sale of its 90^# pet- rol and 0^# diesel as input, we predict the price of two kinds of oil products, i.e. 90^# petrol and 0^# diesel.
出处
《山东理工大学学报（自然科学版）》
CAS
2005年第5期61-65,共5页
Journal of Shandong University of Technology:Natural Science Edition
关键词
人工神经网络
BP神经网络
线性神经网络
成品油价格
预测
artificial neural network
back-propagation neural network
linear neural network
price of oil products
prediction
