Intelligent Classification Of Rock Masses
P Sklavounos, Michael Sakellariou · WIT transactions on information and communication technologies · 1970
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 of using net values) are among the new techniques. Key-Words: Classification, Clustering, Artificial Intelligence, Expert Systems, Neural Networks, Fuzzy Logic.