Matches in SemOpenAlex for { <https://semopenalex.org/work/W3017003691> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W3017003691 endingPage "647" @default.
- W3017003691 startingPage "642" @default.
- W3017003691 abstract "Abstract Crude oil is amongst the most important resources in today’s world, it is the chief fuel and its cost has a direct effect on the global habitat, our economy and oil exploration, exploitation and other activities. Prediction of oil prices has become the need of the hour, it is a boon to many large and small industries, individuals, the government. The evaporative nature of crude oil, its price prediction becomes extremely difficult and it is hard to be precise with the same. Several different factors that affect crude oil prices. We propose a contemporary and innovative method of predicting crude oil prices using the artificial neural network (ANN). The main advantage of this approach of ANN is that it continuously captures the unstable pattern of the crude oil prices which have been incorporated by finding out the optimal lag and number of the delay effect that controls the prices of crude oil. Variation of lag in a period of time has been done for the most optimum and close results, we then have validated our results by evaluating the root mean square error and the results obtained using the proposed model have significantly outperformed." @default.
- W3017003691 created "2020-04-24" @default.
- W3017003691 creator A5029843286 @default.
- W3017003691 creator A5040516726 @default.
- W3017003691 date "2020-01-01" @default.
- W3017003691 modified "2023-10-14" @default.
- W3017003691 title "Crude Oil Price Prediction using Artificial Neural Network" @default.
- W3017003691 cites W1586146650 @default.
- W3017003691 cites W1709132642 @default.
- W3017003691 cites W2004610882 @default.
- W3017003691 cites W2158317811 @default.
- W3017003691 cites W2550310750 @default.
- W3017003691 doi "https://doi.org/10.1016/j.procs.2020.03.136" @default.
- W3017003691 hasPublicationYear "2020" @default.
- W3017003691 type Work @default.
- W3017003691 sameAs 3017003691 @default.
- W3017003691 citedByCount "33" @default.
- W3017003691 countsByYear W30170036912020 @default.
- W3017003691 countsByYear W30170036912021 @default.
- W3017003691 countsByYear W30170036912022 @default.
- W3017003691 countsByYear W30170036912023 @default.
- W3017003691 crossrefType "journal-article" @default.
- W3017003691 hasAuthorship W3017003691A5029843286 @default.
- W3017003691 hasAuthorship W3017003691A5040516726 @default.
- W3017003691 hasBestOaLocation W30170036911 @default.
- W3017003691 hasConcept C119857082 @default.
- W3017003691 hasConcept C127413603 @default.
- W3017003691 hasConcept C154945302 @default.
- W3017003691 hasConcept C2987168347 @default.
- W3017003691 hasConcept C41008148 @default.
- W3017003691 hasConcept C50644808 @default.
- W3017003691 hasConcept C78762247 @default.
- W3017003691 hasConceptScore W3017003691C119857082 @default.
- W3017003691 hasConceptScore W3017003691C127413603 @default.
- W3017003691 hasConceptScore W3017003691C154945302 @default.
- W3017003691 hasConceptScore W3017003691C2987168347 @default.
- W3017003691 hasConceptScore W3017003691C41008148 @default.
- W3017003691 hasConceptScore W3017003691C50644808 @default.
- W3017003691 hasConceptScore W3017003691C78762247 @default.
- W3017003691 hasLocation W30170036911 @default.
- W3017003691 hasOpenAccess W3017003691 @default.
- W3017003691 hasPrimaryLocation W30170036911 @default.
- W3017003691 hasRelatedWork W2386387936 @default.
- W3017003691 hasRelatedWork W2961085424 @default.
- W3017003691 hasRelatedWork W3046775127 @default.
- W3017003691 hasRelatedWork W3107474891 @default.
- W3017003691 hasRelatedWork W4205958290 @default.
- W3017003691 hasRelatedWork W4286629047 @default.
- W3017003691 hasRelatedWork W4306321456 @default.
- W3017003691 hasRelatedWork W4306674287 @default.
- W3017003691 hasRelatedWork W1629725936 @default.
- W3017003691 hasRelatedWork W4224009465 @default.
- W3017003691 hasVolume "170" @default.
- W3017003691 isParatext "false" @default.
- W3017003691 isRetracted "false" @default.
- W3017003691 magId "3017003691" @default.
- W3017003691 workType "article" @default.