Towards knowledge-based identification of mineral mixtures from reflectance spectra

摘要

GOLD/M is an expert system that identifies some mineral mixtures in rocks by searching for characteristic features in the infrared reflectance spectra of the rocks. Some of these minerals indicate subsurface gold deposits. The system is implemented in a shell based on subjective Bayesian reasoning, as used in the Prospector expert system. An earlier system, called GOLD, could identify only the one mineral in a pure sample. GOLD/M identifies up to two minerals in a rock consisting of a mixture of minerals. This paper discusses the extensions made to cope with mineral mixtures, and discusses problems that emerged with the Prospector formalism.