Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network

Title
Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network
Authors
Keywords
Artificial neural network, Particle Swarm Optimization, Compression coefficient, Metaheuristic, Geotechnical engineering, Vietnam
Journal
ADVANCED ENGINEERING INFORMATICS
Volume 38, Issue -, Pages 593-604
Publisher
Elsevier BV
Online
2018-10-01
DOI
10.1016/j.aei.2018.09.005

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started