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- W2899286248 abstract "Crude oil is one of the essential indicators for the economic development in Indonesia. At this time Indonesia has become a net oil importer country, its means that Indonesia imports more crude oil from abroad since the existing crude oil supply is unable to meet the needs. Therefore, the world’s crude oil price becomes an important indicator to be considered. One of the oil price references used by the Government of Indonesia is West Texas Intermediate (WTI). The decision-making to respond to the world’s crude oil prices which tend to be unstable should be done rationally. One of the ways that can be prepared is by forecasting the world crude oil prices. The forecasting will be done using two methods, there are Generalized Regression Neural Network (GRNN) and Feed Forward Neural Network (FFNN). Based on Mean Square Error and Mean Absolute Percentage Error on both data of training and testing from January 2005 until February 2018, GRNN is more reliable than FFNN to forecast the crude oil price with the value of accuracy 88.99%." @default.
- W2899286248 created "2018-11-09" @default.
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- W2899286248 date "2018-01-01" @default.
- W2899286248 modified "2023-09-23" @default.
- W2899286248 title "Comparison study of crude oil price forecasting using generalized regression neural network and feed forward neural network" @default.
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- W2899286248 doi "https://doi.org/10.1063/1.5064991" @default.
- W2899286248 hasPublicationYear "2018" @default.
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