Accuracy of Predictive Models for Dynamic Modulus of Hot-Mix Asphalt

By Halil Ceylan, C. Schwartz, Sunghwan Kim, K. Gopalakrishnan. 2009

137 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/5416cd56b3e68a66a5907c79a6447469c64c8e0a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. D. Daneshvar
2. Ali Behnood

In Mechanical Engineering

1. D. Daneshvar
2. Ali Behnood

Citations in the corpus

• Estimation of the dynamic modulus of asphalt concretes using random forests algorithm (2020, methodology): “Ceylan et al. (2009a, 2009b) and SakhaeiFar et al. (2009) used artificial neural network (ANN) to develop predictive models of |E∗| and to overcome the shortcomings of the Witczak and Hirsch models.”