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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Bibliographic Details
Main Authors: Zhengzhao Jia, Ziling Song, Junfu Fan, Juyu Jiang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2022/7385456
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