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Beschreibung
This Research Work incorporates different Data Analytic Techniques for a comparative study in predicting concrete strength aimed to improve the accuracy of prediction. The methods used are the linear regression with independent variable water to cement ratio (w/c), multi-linear regression with independent variables water/cement ratio, water, cement, blast furnace slag, fly ash, superplasticizers, fine aggregate, coarse aggregate, and age of testing, Regression Trees for better classification and prediction accuracy.
Impact Study of the Ingredients of High-Performance Concrete on the Compressive Strength using Data Analytics Techniques
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 28. September 2018 |
| Maße | 22 cm x 15 cm x 0.6 cm |
| Gewicht | 167 Gramm |
| Format | Softcover |
| ISBN-13 | 9783330027879 |
| Seiten | 100 |
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