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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Online Access: | http://eprints.utm.my/id/eprint/55024/ http://dx.doi.org/10.1016/j.measurement.2014.09.075 |
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