๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Application of soft computing to predict blast-induced ground vibration

โœ Scribed by Manoj Khandelwal; D. Lalit Kumar; Mohan Yellishetty

Publisher
Springer
Year
2009
Tongue
English
Weight
464 KB
Volume
27
Category
Article
ISSN
0177-0667

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Predicting blast-induced ground vibratio
Predicting blast-induced ground vibration using various types of neural networks
โœ M. Monjezi; M. Ahmadi; M. Sheikhan; A. Bahrami; A.R. Salimi ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 377 KB

Prediction of vibration is very important in mining operations as well as civil engineering projects. In this paper, multi layer perceptron neural network (MLPNN), radial basis function neural network (RBFNN) and general regression neural network (GRNN) were utilized to predict ground vibration leve

The importance of site-specific characte
The importance of site-specific characters in prediction models for blast-induced ground vibrations
โœ Cengiz Kuzu ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 556 KB

The aim of this study is to show the effect of geological factors in predicting the level of blast-induced ground vibrations. The sitespecific character of ground must be involved in the prediction models especially if the ground conditions have a variable character like in this case. But in a blast