Y. Yang et Q. Zhang, THE APPLICATION OF NEURAL NETWORKS TO ROCK ENGINEERING SYSTEMS (RES), International journal of rock mechanics and mining sciences & geomechanics abstracts, 35(6), 1998, pp. 727-745
Citations number
19
Categorie Soggetti
Geochemitry & Geophysics","Mining & Mineral Processing
This paper proposes a new approach for applying neural networks in Roc
k Engineering Systems (RES) based on the learning abilities of neural
networks. By considering the analysis of the coding method's for the i
nteraction matrix in RES and the learning processes of neural networks
such as the Back Propagation (BP) method neural networks can provide
a useful mapping from om system inputs to system outputs for rock engi
neering, so that the influence of inputs on outputs can be obtained. T
hen the results of the neural network analysis can be presented in a s
imilar way to the global interaction matrix used in RES to present the
fully-coupled system results. The neural network procedures are expla
ined first, with illustrative demonstrations for simultaneous equation
s. Then, the link with the RES type of analysis is explained, together
with some demonstration examples for rock engineering data sets. The
specific analysis procedure is presented and then wider rock engineeri
ng examples are given relating to the characteristics of rock masses a
nd engineering parameters. The main presentation tools used in this ne
ural network approach are the Relative Strength Effect (RSE) and the G
lobal Relative Strength Effect (GRSE) matrix. There is discussion of t
he value of this approach and an indication of the likely areas of fut
ure development. (C) 1998 Elsevier Science Ltd.