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There are some relevant problems at prospecting-metallogenic analysis of perspective areas: 1. definition of expected formation (mineral) type of mineralization; 2. estimation of the scale of predicted ore mineralization; 3. outlining of the closest analogue from etalon deposits. During formalization this problems can be determined as the problems of pattern recognition, when objects under study described in heterogeneous property space. The conceptual approach to technology support is following: 1. prospecting es...

Mathematical data processing has allowed us to build logical information models based on machine learning (select a lot of informative features (elements), indicating their separating weights and ranges of changes in their values (intervals-indicators), typical for each of the groups of deposits of various formation types). The constructed logical-information models are based on a representative analytical database of 95 gold deposits and gold occurrences in the North-East of Russia. Samples were studied by modern...

The hybrid expert systems are the most effective for solution of geological problems, because their knowledge base includes not only knowledge of experts, but also the regularities received as a result of the analysis of available databases. The prediction problem was the first among the geological problems for which the expert system technology was used for solution. According to the principle of consecutive detailing the main prediction-metallogenic taksons of the researched objects are needed to consider: metal...