Prediction of boulder generation in opencast bench blasting using artificial neural network and their limitation

• Main Authors: Murldhar, Bhatawdekar Ramesh, Mohmad, Edy Tonnizam, Kumar, Abhijeet, Kumar, Sinha Rabindra, Armaghani, Danial Jahed, Pathak, Pranjal, Dan, Firdaus Md
• Format: Article
• Published: Books and Journals Private Ltd. 2021
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/36093/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123994496&partnerID=40&md5=cbc8a052f94bd946d7689462e2c50aec
• Institution: Universiti Malaya

This paper discusses the various artificial neural techniques used to analyze 285 blasting data set from limestone quarry in Thailand consisting of blast design data and percentage of boulders as blast performance criteria. In the beginning, the data sets have been divided into train and test sets u...