Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

Many attempts have been made to predict unconfined compressive strength (UCS) of rocks using back-propagation (BP) artificial neural network (ANN). However, BP-ANN suffers from some disadvantages such as slow rate of learning and getting trapped in local minima. Utilization of particle swarm optimiz...

Full description

Saved in:
Bibliographic Details
Main Authors: Momeni, Ehsan, Armaghani, Danial Jahed, Hajihassani, Mohsen, Mohd. Amin, Mohd. For
Format: Article
Published: Elsevier 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/55024/
http://dx.doi.org/10.1016/j.measurement.2014.09.075
Tags: Add Tag
No Tags, Be the first to tag this record!