Articoli correlati a Concrete 2.0: Harnessing Machine Learning For Strength...

Concrete 2.0: Harnessing Machine Learning For Strength Prediction: Machine Learning Algorithm For Strength Prediction of Concrete - Brossura

S, Venkateswaran; S, Ragul; N, Vimal Raj

 
9786208418939: Concrete 2.0: Harnessing Machine Learning For Strength Prediction: Machine Learning Algorithm For Strength Prediction of Concrete
Brossura
ISBN 10: 6208418933 ISBN 13: 9786208418939
Casa editrice: LAP LAMBERT Academic Publishing, 2024

Sinossi

This study predicts the capability of recycled plastic granules as a sustainable opportunity to conventional coarse mixture in concrete by using neural network. The goal is to increase a study gadget learning model capable of accurately predicting the compressive strength of concrete containing numerous chances of recycled plastic aggregate. This learning is helpful to overcome the required time period for knowing concrete strength by traditional method. This research contributes imparting a reliable tool for predicting the compressive strength of concrete with plastic combination. It optimize the combination layout for numerous programs, and inspect the effect of various kinds of plastic waste on concrete.

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Editore
LAP LAMBERT Academic Publishing
Data di pubblicazione
2024
Lingua
Inglese
ISBN 10 
6208418933
ISBN 13 
9786208418939
Rilegatura
Copertina flessibile
Numero di pagine
96
Contatto del produttore
non disponibile
Persona responsabile
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