Matches in SemOpenAlex for { <https://semopenalex.org/work/W2350897130> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W2350897130 abstract "In order to understand the influence law of each factors on backfilling strength and to predict accurately the strength,the inputed parameters of Artificial Neural Network were detemined and the neural network mode of backfill strength prediction was establish based on the comprehensive analysis on the backfill slurry quality factors and grey correlation.The mode prediction results was compared with the factual values by using the experiment data as the training and test sample,which shows the grey-neural network mode has a higher prediction precision and can satisfy the backfill strength prediction." @default.
- W2350897130 created "2016-06-24" @default.
- W2350897130 creator A5082759444 @default.
- W2350897130 date "2011-01-01" @default.
- W2350897130 modified "2023-09-23" @default.
- W2350897130 title "Backfill strength prediction based on the grey-neural network" @default.
- W2350897130 hasPublicationYear "2011" @default.
- W2350897130 type Work @default.
- W2350897130 sameAs 2350897130 @default.
- W2350897130 citedByCount "0" @default.
- W2350897130 crossrefType "journal-article" @default.
- W2350897130 hasAuthorship W2350897130A5082759444 @default.
- W2350897130 hasConcept C111919701 @default.
- W2350897130 hasConcept C119857082 @default.
- W2350897130 hasConcept C124101348 @default.
- W2350897130 hasConcept C127413603 @default.
- W2350897130 hasConcept C154945302 @default.
- W2350897130 hasConcept C185592680 @default.
- W2350897130 hasConcept C198531522 @default.
- W2350897130 hasConcept C41008148 @default.
- W2350897130 hasConcept C43617362 @default.
- W2350897130 hasConcept C48677424 @default.
- W2350897130 hasConcept C50644808 @default.
- W2350897130 hasConcept C87717796 @default.
- W2350897130 hasConcept C94293008 @default.
- W2350897130 hasConceptScore W2350897130C111919701 @default.
- W2350897130 hasConceptScore W2350897130C119857082 @default.
- W2350897130 hasConceptScore W2350897130C124101348 @default.
- W2350897130 hasConceptScore W2350897130C127413603 @default.
- W2350897130 hasConceptScore W2350897130C154945302 @default.
- W2350897130 hasConceptScore W2350897130C185592680 @default.
- W2350897130 hasConceptScore W2350897130C198531522 @default.
- W2350897130 hasConceptScore W2350897130C41008148 @default.
- W2350897130 hasConceptScore W2350897130C43617362 @default.
- W2350897130 hasConceptScore W2350897130C48677424 @default.
- W2350897130 hasConceptScore W2350897130C50644808 @default.
- W2350897130 hasConceptScore W2350897130C87717796 @default.
- W2350897130 hasConceptScore W2350897130C94293008 @default.
- W2350897130 hasLocation W23508971301 @default.
- W2350897130 hasOpenAccess W2350897130 @default.
- W2350897130 hasPrimaryLocation W23508971301 @default.
- W2350897130 hasRelatedWork W1670650414 @default.
- W2350897130 hasRelatedWork W2022262456 @default.
- W2350897130 hasRelatedWork W2082362569 @default.
- W2350897130 hasRelatedWork W2095505657 @default.
- W2350897130 hasRelatedWork W2151272938 @default.
- W2350897130 hasRelatedWork W2159694023 @default.
- W2350897130 hasRelatedWork W2349192636 @default.
- W2350897130 hasRelatedWork W2361656714 @default.
- W2350897130 hasRelatedWork W2363528172 @default.
- W2350897130 hasRelatedWork W2364516087 @default.
- W2350897130 hasRelatedWork W2368244532 @default.
- W2350897130 hasRelatedWork W2368468989 @default.
- W2350897130 hasRelatedWork W2379451916 @default.
- W2350897130 hasRelatedWork W2380734034 @default.
- W2350897130 hasRelatedWork W2384296073 @default.
- W2350897130 hasRelatedWork W2393762933 @default.
- W2350897130 hasRelatedWork W2546675699 @default.
- W2350897130 hasRelatedWork W2942665683 @default.
- W2350897130 hasRelatedWork W2966411941 @default.
- W2350897130 hasRelatedWork W3023755888 @default.
- W2350897130 isParatext "false" @default.
- W2350897130 isRetracted "false" @default.
- W2350897130 magId "2350897130" @default.
- W2350897130 workType "article" @default.