Abstract: The quantitative evaluation of the borehole quality in the geotechnical investigation is a comprehensive system that involves multitargets, multiactors and multilayers. Based on the summary of the boring information evaluation by the conventional methods, a comprehensive borehole quality evaluation system is established by using the Back Propagation (BP) neural Network Process. This system can provide a better nonlinear and complicated relationships between the borehole quality results and the involved factors. This system can also minimize the subjectively biased evaluation results. As an example this BP model is used in a practical borehole evaluation project. The results indicate the application of this model is feasible.

Key words: BP Neural Network, Building Engineering, Borehole Quality, Geotechnical Investigation