WIT Press

Intelligent Classification Of Rock Masses

Price

Free (open access)

Paper DOI

10.2495/AI950411

Volume

10

Pages

7

Published

1995

Size

601 kb

Author(s)

P. Sklavounos & M. Sakellariou

Abstract

In this work classifying methods are examined from the view of Artificial Intelligence. Special reference is made to a pre-existing method of classifying rock masses (Bieniawski's classification method) and two typical attempts to use Artificial Intelligence tools are referred: a) Transference of the methodology procedure in an expert system's shell , and b) Training of a neural network with sets of inputs - results in order to map the outer performance of the methodology. For an extension, machine learning is proposed as a tool for derivation of new classification methods taylored to specific systems. Fuzzy logic, self - adjustable neural networks and dynamic interaction among the input parameters of a system (instead

Keywords