Matches in SemOpenAlex for { <https://semopenalex.org/work/W3209256755> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W3209256755 endingPage "18" @default.
- W3209256755 startingPage "1" @default.
- W3209256755 abstract "This paper develops a rainfall prediction technique, named GWO-based Linear Regression (GWLR) model, using the linear regression model and Grey Wolf Optimizer (GWO). The linear regression model is used to predict the value of a dependent variable from an independent variable on the basis of regression coefficient. The proposed GWLR predicts rainfall based on the input time-series weather data using the proposed GWLR model, in which the regression coefficients are obtained optimally using the GWO. Thus, the rainfall detection is done on the accumulated data of India and the state, Jammu and Kashmir over the years 1901 to 2015. The effectiveness of the proposed GWLR is checked with MSE and PRD values and is evaluated to be the best when compared to other existing techniques with least MSE value as 0.005 and PRD value as 1.700%." @default.
- W3209256755 created "2021-11-08" @default.
- W3209256755 creator A5055922215 @default.
- W3209256755 creator A5064854091 @default.
- W3209256755 creator A5072591163 @default.
- W3209256755 date "2021-10-22" @default.
- W3209256755 modified "2023-09-27" @default.
- W3209256755 title "Grey Wolf-Based Linear Regression Model for Rainfall Prediction" @default.
- W3209256755 cites W1979156432 @default.
- W3209256755 cites W1982074916 @default.
- W3209256755 cites W2061438946 @default.
- W3209256755 cites W2134652984 @default.
- W3209256755 cites W2198731842 @default.
- W3209256755 cites W2531416169 @default.
- W3209256755 cites W2571438337 @default.
- W3209256755 cites W2572436016 @default.
- W3209256755 cites W2612828053 @default.
- W3209256755 cites W2747579856 @default.
- W3209256755 cites W2749346977 @default.
- W3209256755 cites W2771590586 @default.
- W3209256755 cites W2786667009 @default.
- W3209256755 cites W2803604456 @default.
- W3209256755 cites W3011867832 @default.
- W3209256755 cites W3014837209 @default.
- W3209256755 cites W3038061982 @default.
- W3209256755 cites W3084135547 @default.
- W3209256755 cites W3100431304 @default.
- W3209256755 cites W3135219098 @default.
- W3209256755 doi "https://doi.org/10.4018/ijitsa.290004" @default.
- W3209256755 hasPublicationYear "2021" @default.
- W3209256755 type Work @default.
- W3209256755 sameAs 3209256755 @default.
- W3209256755 citedByCount "1" @default.
- W3209256755 countsByYear W32092567552022 @default.
- W3209256755 crossrefType "journal-article" @default.
- W3209256755 hasAuthorship W3209256755A5055922215 @default.
- W3209256755 hasAuthorship W3209256755A5064854091 @default.
- W3209256755 hasAuthorship W3209256755A5072591163 @default.
- W3209256755 hasConcept C105795698 @default.
- W3209256755 hasConcept C120068334 @default.
- W3209256755 hasConcept C128990827 @default.
- W3209256755 hasConcept C134306372 @default.
- W3209256755 hasConcept C152877465 @default.
- W3209256755 hasConcept C163175372 @default.
- W3209256755 hasConcept C182365436 @default.
- W3209256755 hasConcept C32224588 @default.
- W3209256755 hasConcept C33923547 @default.
- W3209256755 hasConcept C41008148 @default.
- W3209256755 hasConcept C48921125 @default.
- W3209256755 hasConcept C83546350 @default.
- W3209256755 hasConceptScore W3209256755C105795698 @default.
- W3209256755 hasConceptScore W3209256755C120068334 @default.
- W3209256755 hasConceptScore W3209256755C128990827 @default.
- W3209256755 hasConceptScore W3209256755C134306372 @default.
- W3209256755 hasConceptScore W3209256755C152877465 @default.
- W3209256755 hasConceptScore W3209256755C163175372 @default.
- W3209256755 hasConceptScore W3209256755C182365436 @default.
- W3209256755 hasConceptScore W3209256755C32224588 @default.
- W3209256755 hasConceptScore W3209256755C33923547 @default.
- W3209256755 hasConceptScore W3209256755C41008148 @default.
- W3209256755 hasConceptScore W3209256755C48921125 @default.
- W3209256755 hasConceptScore W3209256755C83546350 @default.
- W3209256755 hasIssue "1" @default.
- W3209256755 hasLocation W32092567551 @default.
- W3209256755 hasOpenAccess W3209256755 @default.
- W3209256755 hasPrimaryLocation W32092567551 @default.
- W3209256755 hasRelatedWork W1968483434 @default.
- W3209256755 hasRelatedWork W2359727656 @default.
- W3209256755 hasRelatedWork W2375721435 @default.
- W3209256755 hasRelatedWork W247449116 @default.
- W3209256755 hasRelatedWork W2886532972 @default.
- W3209256755 hasRelatedWork W2966251753 @default.
- W3209256755 hasRelatedWork W2990830163 @default.
- W3209256755 hasRelatedWork W3118299338 @default.
- W3209256755 hasRelatedWork W4212972958 @default.
- W3209256755 hasRelatedWork W4225727896 @default.
- W3209256755 hasVolume "15" @default.
- W3209256755 isParatext "false" @default.
- W3209256755 isRetracted "false" @default.
- W3209256755 magId "3209256755" @default.
- W3209256755 workType "article" @default.