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

✍ Scribed by Momeni, Ehsan (author);Jahed Armaghani, Danial (author);Hajihassani, Mohsen (author);Mohd Amin, Mohd For (author)


Book ID
127369667
Publisher
Elsevier B.V.
Year
2015
Tongue
English
Weight
932 KB
Volume
60
Category
Article
ISSN
0263-2241

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Prediction of uniaxial compressive stren
✍ S DEHGHAN; Gh SATTARI; S CHEHREH CHELGANI; MA ALIABADI πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier 🌐 English βš– 635 KB

Uniaxial Compressive Strength (UCS) and modulus of elasticity (E) are the most important rock parameters required and determined for rock mechanical studies in most civil and mining projects. In this study, two mathematical methods, regression analysis and Artificial Neural Networks (ANNs), were use