Publication Date




First (shorter) version published in Proceedings of the 24th International Conference of the North American Fuzzy Information Processing Society NAFIPS'2005, Ann Arbor, Michigan, June 22-25, 2005, pp. 310-314; full paper published in International Journal of Approximate Reasoning, 2007, Vol. 45, No. 3, pp. 564-587.


For many practical applications, it it important to solve the seismic inverse problem, i.e., to measure seismic travel times and reconstruct velocities at different depths from this data. The existing algorithms for solving the seismic inverse problem often take too long and/or produce un-physical results -- because they do not take into account the knowledge of geophysicist experts. In this paper, we analyze how expert knowledge can be used in solving the seismic inverse problem.

tr05-19a.pdf (212 kB)
Updated version: UTEP-CS-05-19a

tr05-19.pdf (66 kB)
Original file: UTEP-CS-05-19