Matches in SemOpenAlex for { <https://semopenalex.org/work/W3180501594> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W3180501594 abstract "Prediction of economical growth is a complex task which is essential for planning sustainable economy. The economy has a wide range of indicators that are monitored and recorded by governments and international organizations. Agriculture is one of the most essential factors to modern day economical sustainability. The Food and Agriculture Organization keeps essential agricultural data sets which consist of records on production of crops and other agricultural products whose production strongly relates to the Gross Domestic Product of many countries. Assuming that total crop production and agricultural economy growth are highly related, the production of crops and total value of income from agriculture can be learnt by machine learning models. As data is recorded along an axis of time, it can be interpreted as a time series of various factors. Recurrent Neural Network excel in learning time series and sequential data. This paper presents experimental results on training various recurrent neural networks for modeling the changes of Agricultural and Gross Domestic Products. The paper details the data transformation, model building and model validation steps. Our experimental results showed that the models could achieve 85% accuracy." @default.
- W3180501594 created "2021-07-19" @default.
- W3180501594 creator A5013044392 @default.
- W3180501594 creator A5067788845 @default.
- W3180501594 creator A5081140557 @default.
- W3180501594 date "2021-05-19" @default.
- W3180501594 modified "2023-09-27" @default.
- W3180501594 title "Machine Learning based Prediction of GDP using FAO Agricultural Data Set for Hungary" @default.
- W3180501594 cites W2039133703 @default.
- W3180501594 cites W2066580864 @default.
- W3180501594 cites W2093520441 @default.
- W3180501594 cites W2185508628 @default.
- W3180501594 cites W2509975002 @default.
- W3180501594 cites W2933878133 @default.
- W3180501594 cites W2951751434 @default.
- W3180501594 cites W2964476404 @default.
- W3180501594 cites W2965127303 @default.
- W3180501594 cites W3004270617 @default.
- W3180501594 cites W3014179556 @default.
- W3180501594 cites W3024701029 @default.
- W3180501594 cites W3047980212 @default.
- W3180501594 cites W3089019288 @default.
- W3180501594 cites W3091540138 @default.
- W3180501594 cites W3093186795 @default.
- W3180501594 cites W3095198574 @default.
- W3180501594 cites W3096894036 @default.
- W3180501594 cites W3111647515 @default.
- W3180501594 doi "https://doi.org/10.1109/saci51354.2021.9465608" @default.
- W3180501594 hasPublicationYear "2021" @default.
- W3180501594 type Work @default.
- W3180501594 sameAs 3180501594 @default.
- W3180501594 citedByCount "1" @default.
- W3180501594 countsByYear W31805015942022 @default.
- W3180501594 crossrefType "proceedings-article" @default.
- W3180501594 hasAuthorship W3180501594A5013044392 @default.
- W3180501594 hasAuthorship W3180501594A5067788845 @default.
- W3180501594 hasAuthorship W3180501594A5081140557 @default.
- W3180501594 hasConcept C114350782 @default.
- W3180501594 hasConcept C118518473 @default.
- W3180501594 hasConcept C119857082 @default.
- W3180501594 hasConcept C128383755 @default.
- W3180501594 hasConcept C139719470 @default.
- W3180501594 hasConcept C151406439 @default.
- W3180501594 hasConcept C154945302 @default.
- W3180501594 hasConcept C162324750 @default.
- W3180501594 hasConcept C166957645 @default.
- W3180501594 hasConcept C18903297 @default.
- W3180501594 hasConcept C205649164 @default.
- W3180501594 hasConcept C2524010 @default.
- W3180501594 hasConcept C2778348673 @default.
- W3180501594 hasConcept C33923547 @default.
- W3180501594 hasConcept C41008148 @default.
- W3180501594 hasConcept C48824518 @default.
- W3180501594 hasConcept C50522688 @default.
- W3180501594 hasConcept C50644808 @default.
- W3180501594 hasConcept C66204764 @default.
- W3180501594 hasConcept C86803240 @default.
- W3180501594 hasConcept C90673727 @default.
- W3180501594 hasConceptScore W3180501594C114350782 @default.
- W3180501594 hasConceptScore W3180501594C118518473 @default.
- W3180501594 hasConceptScore W3180501594C119857082 @default.
- W3180501594 hasConceptScore W3180501594C128383755 @default.
- W3180501594 hasConceptScore W3180501594C139719470 @default.
- W3180501594 hasConceptScore W3180501594C151406439 @default.
- W3180501594 hasConceptScore W3180501594C154945302 @default.
- W3180501594 hasConceptScore W3180501594C162324750 @default.
- W3180501594 hasConceptScore W3180501594C166957645 @default.
- W3180501594 hasConceptScore W3180501594C18903297 @default.
- W3180501594 hasConceptScore W3180501594C205649164 @default.
- W3180501594 hasConceptScore W3180501594C2524010 @default.
- W3180501594 hasConceptScore W3180501594C2778348673 @default.
- W3180501594 hasConceptScore W3180501594C33923547 @default.
- W3180501594 hasConceptScore W3180501594C41008148 @default.
- W3180501594 hasConceptScore W3180501594C48824518 @default.
- W3180501594 hasConceptScore W3180501594C50522688 @default.
- W3180501594 hasConceptScore W3180501594C50644808 @default.
- W3180501594 hasConceptScore W3180501594C66204764 @default.
- W3180501594 hasConceptScore W3180501594C86803240 @default.
- W3180501594 hasConceptScore W3180501594C90673727 @default.
- W3180501594 hasLocation W31805015941 @default.
- W3180501594 hasOpenAccess W3180501594 @default.
- W3180501594 hasPrimaryLocation W31805015941 @default.
- W3180501594 hasRelatedWork W2283009186 @default.
- W3180501594 hasRelatedWork W2367812733 @default.
- W3180501594 hasRelatedWork W2381843756 @default.
- W3180501594 hasRelatedWork W2391019475 @default.
- W3180501594 hasRelatedWork W2568670325 @default.
- W3180501594 hasRelatedWork W3209563682 @default.
- W3180501594 hasRelatedWork W4205666885 @default.
- W3180501594 hasRelatedWork W4289531684 @default.
- W3180501594 hasRelatedWork W578465926 @default.
- W3180501594 hasRelatedWork W2751398719 @default.
- W3180501594 isParatext "false" @default.
- W3180501594 isRetracted "false" @default.
- W3180501594 magId "3180501594" @default.
- W3180501594 workType "article" @default.