nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

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Bibliographic Details

Title: 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
Publisher: LAP LAMBERT Academic Publishing
Language: English
ISBN 10: 3330027878
ISBN 13: 9783330027879
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 6 millimeters depth
Weight: 167 grams

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