Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/68668
Type: Conference paper
Title: Optimization of mine ventilation networks using genetic algorithms and artificial neural networks
Author: Lowndes, I.
Dandy, G.
Marshall, T.
Schmidt, T.
N, G.
Raynor, G.
Citation: Proceedings of the 13th US/North American Mine Ventilation Symposium, Sudbury, ON, Canada, June 2010 / Hardcastle & McKinnon (eds.), pp. 441-447
Publisher: Sudbury, ONT: MIRARCO
Publisher Place: Canada
Issue Date: 2010
Conference Name: US/North American Mine Ventilation Symposium (13th : 2010 : Sudbury, Ontario, Canada)
Editor: Hardcastle, S.
McKinnon, D.
Statement of
Responsibility: 
I. S. Lowndes, G. C. Dandy, T. S. Marshall, T. B. Schmidt, N. G. Simpson, & G. P. Raynor
Rights: © 2010, MIRARCO - Mining Innovation
Appears in Collections:Aurora harvest 5
Civil and Environmental Engineering publications
Environment Institute publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.