Application of PSO to develop a powerful equation for prediction of flyrock due to blasting-Reference-Cited by-同舟云学术

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

Published:2016-06-17 Issue:S1 Volume:28 Page:1043-1050
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Hasanipanah Mahdi,Jahed Armaghani Danial,Bakhshandeh Amnieh Hassan,Majid Muhd Zaimi Abd,Tahir Mahmood M. D.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2434-1/fulltext.html

Reference56 articles.

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2. Verma AK, Singh TN (2009) A neuro-genetic approach for prediction of compressional wave velocity of rock and its sensitivity analysis. Int J Earth Sci Eng 2(2):81–94

3. Ghasemi E, Sari M, Ataei M (2012) Development of an empirical model for predicting the effects of controllable blasting parameters on flyrock distance in surface mines. Int J Rock Mech Min Sci 52:163–170

4. Verma AK, Singh TN (2013) Comparative study of cognitive systems for ground vibration measurements. Neural Comput Appl 22:341–1643

5. Monjezi M, Hasanipanah M, Khandelwal M (2013) Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network. Neural Comput Appl 22:1637–1643

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