A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms

Author:

Nguyen HoangORCID,Bui Xuan-Nam,Tran Quang-Hieu,Mai Ngoc-Luan

Funder

Hanoi University of Mining and Geology

Ministry of Education and Training of Vietnam

Publisher

Elsevier BV

Subject

Software

Reference57 articles.

1. A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam;Nguyen;Neural Comput. Appl.,2018

2. Effects of mine blasting on residential structures;Gad;J. Perform. Cconstruct. Facil.,2005

3. Prediction of blast-induced ground vibrations via genetic programming;Dindarloo Saeid;Int. J.,2015

4. Evaluation of blast-induced ground vibration predictors;Khandelwal;Soil Dyn. Earthq. Eng.,2007

5. A comparison of artificial neural network and empirical technique for predicting blast-induced ground vibration in open-pit mine;Nguyen,2018

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