An optimized ANN model based on genetic algorithm for predicting ripping production

An optimized ANN model based on genetic algorithm for predicting ripping production

Due to the environmental constraints and the limitations on blasting, ripping as a ground loosening and breaking method has become more popular in both mining and civil engineering applications. As a result, a more applicable rippability model is required to predict ripping production (Q) before con...

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Bibliographic Details
Main Authors: Mohamad, Edy Tonnizam, Faradonbeh, Roohollah Shirani, Armaghani, Danial Jahed, Monjezi, Masoud, Majid, Muhd. Zaimi Abd.
Format: Article
Published: Springer-Verlag London Ltd 2016
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/72822/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84970021210&doi=10.1007%2fs00521-016-2359-8&partnerID=40&md5=2ec3e262eea2a4a51ccb25de61d209f1
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Institution: Universiti Teknologi Malaysia

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http://eprints.utm.my/id/eprint/72822/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84970021210&doi=10.1007%2fs00521-016-2359-8&partnerID=40&md5=2ec3e262eea2a4a51ccb25de61d209f1

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