Prediction of the effect of varying cure conditions and w/c ratio on the compressive strength of concrete using artificial neural networks.
Hasbi YaprakAbdülkadir KaraciIlhami DemirPublished in: Neural Comput. Appl. (2013)
Keyphrases
- using artificial neural networks
- prediction accuracy
- artificial neural networks
- working group
- prediction model
- query language
- compressive sensing
- prediction algorithm
- friction coefficient
- sufficient conditions
- early stage
- standard deviation
- fluidized bed
- databases
- finite element analysis
- prediction error
- linked data
- relational databases
- neural network