Data Analytics Techniques for Concrete Compressive Strength Prediction
Impact Study of the Ingredients of High-Performance Concrete on the Compressive Strength using Data Analytics Techniques
(Sprache: Englisch)
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...
Leider schon ausverkauft
versandkostenfrei
Buch
56.50 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Data Analytics Techniques for Concrete Compressive Strength Prediction “
Klappentext zu „Data Analytics Techniques for Concrete Compressive Strength Prediction “
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.
Autoren-Porträt von Kumar Shaswat
Shaswat, KumarA Civil Engineer, currently pursuing PhD from Bennett University. Working in the field of Deep Learning Application in Civil Engineering and Structural Health Monitoring.
Bibliographische Angaben
- Autor: Kumar Shaswat
- 2018, 100 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 3330027878
- ISBN-13: 9783330027879
Sprache:
Englisch
Kommentar zu "Data Analytics Techniques for Concrete Compressive Strength Prediction"
Schreiben Sie einen Kommentar zu "Data Analytics Techniques for Concrete Compressive Strength Prediction".
Kommentar verfassen