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- W2364904578 abstract "The trend of petroleum prices has been the focus of study around the world,petroleum futures is an important way of the world's petroleum transactions. For the government's macroeconomic policy and related businesses decision-making,accurately prediction of the petroleum futures price's trend is important. Using BP neural network's adaptive learning capability and MATLAB 7.0 programming,build neural network prediction model based on LMalgorithm for training and testing New York Mercantile Exchange's petroleum futures price. The results indicate that BP neural network model based on the LM algorithm applied into the petroleum futures price forecasting have many advantages such as fast computing speed,good forecasting precision and the value of promotion and application." @default.
- W2364904578 created "2016-06-24" @default.
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- W2364904578 date "2009-01-01" @default.
- W2364904578 modified "2023-09-25" @default.
- W2364904578 title "Petroleum Futures Price Prediction Research Based on LM Algorithm" @default.
- W2364904578 hasPublicationYear "2009" @default.
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