Modelling of Marshall stability of polypropylene fibre reinforced asphalt concrete using support vector machine and artificial neural network

Author:

Jalota Samrity,Suthar Manju

Publisher

Elsevier BV

Reference93 articles.

1. Abtahi, S.M., Ghorban, E.M., Kunt, M.M., Hejazi, S.M., Esfandiarpour, S. 2011. Production of polypropylene-reinforced asphalt concrete mixtures based on dry procedure and superpave gyratory compactor.

2. Estimation of punching shear capacity of concrete slabs using data mining techniques;Aggarwal;Int. J. Eng.,2019

3. Experimental Study on High Strength Concrete with partial replacement of fine aggregate using polypropylene steel fiber;Al Tekreeti;Mesopotamian J. Civil Eng.,2023

4. Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study;Althoey;Case Stud. Constr. Mater.,2023

5. Novel ensemble modelling for prediction of fundamental properties of bitumen incorporating plastic waste;Arifuzzaman;J. Mater. Res. Technol.,2023

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