Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022963755> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2022963755 abstract "Experimental determination of properties of engineering materials is quite expensive and time consuming. Computational methods of predicting the properties of materials, such as artificial neural network (ANN), are easier and bereft of complex mathematics that characterizes analytical methods. Also, Nigeria consumes a lot of bottled and sachet water. Most of the bottles and sachets are made with low density polyethylene (LDPE) and these sachets constitute a major source of pollution in Nigerian cities and towns. In addition, date palm is a major cash crop in Nigeria. In this study, an artificial neural network (ANN) approach is used to predict the mechanical properties of date palm wood fiber-recycled low density polyethylene composite. In the artificial neural network, multi layer perceptron architecture (MLP) with back-propagation is utilized. In ANN training module, the ground fibres weight percent (wt %) was used as input for various particles sizes (150, 212, 250 and 300 µm). The outputs consist of the ultimate tensile strength, elongation, tensile modulus, flexural strength, flexural modulus and hardness for the particle sizes: 150, 212, 250 and 300 µm. The artificial neural network system was trained using the prepared training set. After the training process, the test data were used to check the system accuracy. The correlation coefficients of all predictions with experimental values were more than 0.99. These results show that artificial neural network is very successful in the prediction of the mechanical properties." @default.
- W2022963755 created "2016-06-24" @default.
- W2022963755 creator A5001493474 @default.
- W2022963755 creator A5053607010 @default.
- W2022963755 creator A5064125876 @default.
- W2022963755 date "2014-08-30" @default.
- W2022963755 modified "2023-09-26" @default.
- W2022963755 title "Predicting the mechanical properties of date palm wood fibre-recycled low density polyethylene composite using artificial neural network" @default.
- W2022963755 cites W1965629275 @default.
- W2022963755 cites W1967366211 @default.
- W2022963755 cites W1990664746 @default.
- W2022963755 cites W1994318907 @default.
- W2022963755 cites W1995341919 @default.
- W2022963755 cites W1997078201 @default.
- W2022963755 cites W1997284061 @default.
- W2022963755 cites W1998442441 @default.
- W2022963755 cites W2000067361 @default.
- W2022963755 cites W2004566673 @default.
- W2022963755 cites W2012970675 @default.
- W2022963755 cites W2022619123 @default.
- W2022963755 cites W2032962877 @default.
- W2022963755 cites W2037942252 @default.
- W2022963755 cites W2044892884 @default.
- W2022963755 cites W2048083545 @default.
- W2022963755 cites W2054557393 @default.
- W2022963755 cites W2056629974 @default.
- W2022963755 cites W2056695946 @default.
- W2022963755 cites W2070087434 @default.
- W2022963755 cites W2079093653 @default.
- W2022963755 cites W2098100436 @default.
- W2022963755 cites W2124503551 @default.
- W2022963755 cites W2131732065 @default.
- W2022963755 cites W2153795953 @default.
- W2022963755 doi "https://doi.org/10.1186/s40712-014-0007-6" @default.
- W2022963755 hasPublicationYear "2014" @default.
- W2022963755 type Work @default.
- W2022963755 sameAs 2022963755 @default.
- W2022963755 citedByCount "20" @default.
- W2022963755 countsByYear W20229637552015 @default.
- W2022963755 countsByYear W20229637552016 @default.
- W2022963755 countsByYear W20229637552017 @default.
- W2022963755 countsByYear W20229637552018 @default.
- W2022963755 countsByYear W20229637552019 @default.
- W2022963755 countsByYear W20229637552020 @default.
- W2022963755 countsByYear W20229637552021 @default.
- W2022963755 countsByYear W20229637552022 @default.
- W2022963755 crossrefType "journal-article" @default.
- W2022963755 hasAuthorship W2022963755A5001493474 @default.
- W2022963755 hasAuthorship W2022963755A5053607010 @default.
- W2022963755 hasAuthorship W2022963755A5064125876 @default.
- W2022963755 hasBestOaLocation W20229637551 @default.
- W2022963755 hasConcept C104779481 @default.
- W2022963755 hasConcept C108458091 @default.
- W2022963755 hasConcept C112950240 @default.
- W2022963755 hasConcept C154945302 @default.
- W2022963755 hasConcept C159985019 @default.
- W2022963755 hasConcept C178405089 @default.
- W2022963755 hasConcept C179717631 @default.
- W2022963755 hasConcept C192562407 @default.
- W2022963755 hasConcept C2779751980 @default.
- W2022963755 hasConcept C41008148 @default.
- W2022963755 hasConcept C50644808 @default.
- W2022963755 hasConceptScore W2022963755C104779481 @default.
- W2022963755 hasConceptScore W2022963755C108458091 @default.
- W2022963755 hasConceptScore W2022963755C112950240 @default.
- W2022963755 hasConceptScore W2022963755C154945302 @default.
- W2022963755 hasConceptScore W2022963755C159985019 @default.
- W2022963755 hasConceptScore W2022963755C178405089 @default.
- W2022963755 hasConceptScore W2022963755C179717631 @default.
- W2022963755 hasConceptScore W2022963755C192562407 @default.
- W2022963755 hasConceptScore W2022963755C2779751980 @default.
- W2022963755 hasConceptScore W2022963755C41008148 @default.
- W2022963755 hasConceptScore W2022963755C50644808 @default.
- W2022963755 hasIssue "1" @default.
- W2022963755 hasLocation W20229637551 @default.
- W2022963755 hasOpenAccess W2022963755 @default.
- W2022963755 hasPrimaryLocation W20229637551 @default.
- W2022963755 hasRelatedWork W2042892459 @default.
- W2022963755 hasRelatedWork W2050083241 @default.
- W2022963755 hasRelatedWork W2058157472 @default.
- W2022963755 hasRelatedWork W2069223359 @default.
- W2022963755 hasRelatedWork W2089085266 @default.
- W2022963755 hasRelatedWork W2374325751 @default.
- W2022963755 hasRelatedWork W3000310274 @default.
- W2022963755 hasRelatedWork W3044720488 @default.
- W2022963755 hasRelatedWork W3122552578 @default.
- W2022963755 hasRelatedWork W3142048519 @default.
- W2022963755 hasVolume "9" @default.
- W2022963755 isParatext "false" @default.
- W2022963755 isRetracted "false" @default.
- W2022963755 magId "2022963755" @default.
- W2022963755 workType "article" @default.