Neuro-fuzzy modeling in engineering geology : Applications to mechanical rock excavation, rock strength estimation, and geological mapping
Mario Alvarez Grima · 2000
This text focuses on the use of rule based-fuzzy modelling and neural networks methods in conjunction with conventional statistical techniques. S oft computing methods allow the integration of theoretical knowledge, experimental data, field observations and know-how of the problem at hand, and result in the construction of a workable model. The book is aimed at engineering geologists and those dealing with process modelling, uncertainty management and decision making.