Predicting intact rock strength for mechanical excavation using multivariate statistics, artificial neural networks, and regression trees

Author:

Tiryaki Bulent

Publisher

Elsevier BV

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference46 articles.

1. An Introduction to Neural Computing;Aleksander,1990

2. Fuzzy model for the prediction of unconfined compressive strength of rock samples;Alvarez Grima;Int. J. Rock Mech. Min. Sci.,1999

3. Modeling tunnel boring machine performance by neuro-fuzzy methods;Alvarez Grima;Tunn. Undergr. Space Technol.,2000

4. Relationship of mechanical, index and mineralogic properties of coal measures rock;Barbour,1979

5. The physical and mechanical properties of Fell sandstones, Northumberland, England;Bell;Eng. Geol.,1978

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