Prediction of Blasting Fragmentation Based on GWO-ELM
Aiming at the complex nonlinear relationship among factors affecting blasting fragmentation, the input weight and hidden layer threshold of ELM (extreme learning machine) were optimized by gray wolf optimizer (GWO) and the prediction model of GWO-ELM blasting fragmentation was established. Taking No...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2022/7385456 |
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