... network model input parameter algorithm microseismic information intensity rockburst Rock Characterisation, Modelling and Engineering Design Methods Feng, Hudson & Tan (Eds) © 2013 Taylor & Francis Group, London, ISBN 978-1-138-00057-5 Neural network estimation of rockburst damage severity based...

... progresses. Back-analysis requires an algorithm to find a set of input parameters that will minimize the difference between predicted and measured performance. This paper presents one such algorithm based on Simulated Annealing (SA). The specific method belongs to a general class of heuristic based...

... specifications of rock and explosive material are influencing the amount of required charge for each application and the conventional methods can not easily incorporate all of them. This research focuses on using "artificial neural networks" for prediction of specific charge based on certain input parameters...

... by the three methods indicate that they are interchangeable within their combined errors. However, rock heterogeneity at a sample scale may affect the measured effective thermal conductivity (Popov 1999). For the thermo-mechanical-hydrogeological computer codes, correct input parameter of thermal conductivity...

... Mayanpo slope excavation triassic sandstone input parameter stability rock mass marc-andré brideau sandstone initial static loading construction numerical result ISRM-Sponsored International Symposium on Rock Mechanics: Rock Characterisation, Modelling and Engineering Design Methods...