ABSTRACT

Because of the inherent high nonlinearity of rock material, associated with the extreme complicity of mechanical and geological conditions, it is usually very difficult to model the response of rocks to engineering activities mathematically and physically. Recently, with integrated applications of artificial intelligence, system science, rock mechanics and engineering geology, an interesting alternative methodology, intelligent analysis methods, for recognition of rock mechanics models was proposed. This paper reviews the new developments of this kind of method and gives some prospects for further works.

Keywords:
evolutionary algorithm, modeling, recognition, genetic algorithm, Artificial Intelligence, objective function, testing data, algorithm, machine learning, Engineering
Subjects:
Information Management and Systems, Artificial intelligence
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2012. Taylor & Francis Group. Permission to Distribute - International Society for Rock Mechanics.
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