Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases

Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases

Stabilized base/subbase materials provide more structural support and durability to both flexible and rigid pavements than conventional base/subbase materials. For the design of stabilized base/subbase layers in flexible pavements, good performance in terms of resilient modulus (M<sub>r</su...

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Bibliographic Details
Main Authors: Mosbeh R. Kaloop, Deepak Kumar, Pijush Samui, Alaa R. Gabr, Jong Wan Hu, Xinghan Jin, Bishwajit Roy
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Applied Sciences
Subjects:
artificial neural network
extreme learning machine
particle swarm optimization
resilient modulus
durability
Online Access:https://www.mdpi.com/2076-3417/9/16/3221

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https://www.mdpi.com/2076-3417/9/16/3221

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