A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting
Author:
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Elsevier BV
Subject
Software
Reference63 articles.
1. Prediction of blast-induced ground vibration using artificial neural network;Khandelwal;Int. J. Rock Mech. Min. Sci.,2009
2. Prediction of blast-induced air overpressure using support vector machine;Khandelwal;Arab. J. Geosci.,2011
3. Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting;Hasanipanah;Neural Comput. Appl.,2018
4. Modelling the source of blasting for the numerical simulation of blast-induced ground vibrations: A review;Ainalis;Rock Mech. Rock Eng.,2017
5. A new hybrid ANFIS–PSO model for prediction of peak particle velocity due to bench blasting;Ghasemi;Eng. Comput.,2016
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