Support vector regression optimized by black widow optimization algorithm combining with feature selection by MARS for mining blast vibration prediction

Author:

Xu Guoquan,Wang Xinyu

Funder

East China Institute of Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference83 articles.

1. Review of predicting the blast-induced ground vibrations to reduce impacts on ambient urban communities;Yan;J. Clean. Prod.,2020

2. Minimization of blast-induced dust emission using gene-expression programming and grasshopper optimization algorithm: a smart mining solution based on blasting plan optimization, Clean Technologies and Environmental;Hosseini;Policy,2022

3. Prediction of Dust Emission Due to Open Pit Mine Blasting Using a Hybrid Artificial Neural Network;Hosseini;Nat. Resour. Res.,2021

4. An Overview of Flyrock and its Prediction in Surface Mine Blasting using Soft Computing Techniques;BalakrİShnan;Recep Tayyip Erdogan University J. Sci. Eng.,2021

5. Prediction of blasting induced air-overpressure using a radial basis function network with an additional hidden layer;Zhang;Appl. Soft Comput.,2022

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