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...
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| Main Authors: | , , , |
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| Format: | Article |
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Elsevier
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/55024/ http://eprints.utm.my/55024/ http://eprints.utm.my/55024/ |
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