Forecast of the volume of sales index in the Brazilian petroleum sector using artificial neural networks
This paper deals with the application of neural networks in predicting the fuel sales index. Neural networks, through their learning ability, can understand the variability of parameters and from this, infer about their future behavior. Most of the sales forecasts made by ANP (National Agency of Pe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Technology and Education Galileo da Amazônia
2018-06-01
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| Series: | ITEGAM-JETIA |
| Subjects: | |
| Online Access: | https://itegam-jetia.org/journal/index.php/jetia/article/view/26 |