Airblast prediction through a hybrid genetic algorithm-ANN model

• Main Authors: Jahed Armaghani, D., Hasanipanah, M., Mahdiyar, A., Abd. Majid, M. Z., Bakhshandeh Amnieh, H., Tahir, M. M. D.
• Format: Article
• Published: Springer-Verlag London Ltd 2016
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/72810/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987624087&doi=10.1007%2fs00521-016-2598-8&partnerID=40&md5=011bb80b58942ec30cc12fb67664cd0a

Air overpressure is one of the most undesirable destructive effects induced by blasting operation. Hence, a precise prediction of AOp has vital importance to minimize or reduce the environmental effects. This paper presents the development of two artificial intelligence techniques, namely artificial...