caa a22 4500 469064560 CHVBK 20180323132904.0 cr unu---uuuuu 170328e19920801xx s 000 0 eng 10.1007/BF00894236 doi (NATIONALLICENCE)springer-10.1007/BF00894236 Bysigin Boris Geological Department 19, Dnepropetrovsk Mining Institute, K. Marx Avenue, 320014, Dnepropetrovsk, USSR aut Man-and-machine technology for the prediction of mineral deposits using geophysical data [Elektronische Daten] [Boris Bysigin] To predict secondary geological structures that control the localization of mineral deposits in areas of cover, it is practical to use complex geophysical data. The prediction process is iterative and employs pattern recognition techniques. Each iterative cycle can include the procedure of location and ranging according to their appropriateness to the problem. The quality of the prediction is a function of the suitability of the geological environment under investigation and of the anomalies contained in the geophysical data and their selection. International Association for Mathematical Geology, 1992 geophysical data nationallicence geophysical mapping nationallicence pattern recognition nationallicence man-and-machine technology nationallicence feature selection nationallicence geological forecasting nationallicence ranging nationallicence clustering nationallicence classification nationallicence control set nationallicence Mathematical Geology Kluwer Academic Publishers-Plenum Publishers 24/6(1992-08-01), 711-717 0882-8121 24:6<711 1992 24 11004 https://doi.org/10.1007/BF00894236 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00894236 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Bysigin Boris Geological Department 19, Dnepropetrovsk Mining Institute, K. Marx Avenue, 320014, Dnepropetrovsk, USSR aut NATIONALLICENCE 773 0- Mathematical Geology Kluwer Academic Publishers-Plenum Publishers 24/6(1992-08-01), 711-717 0882-8121 24:6<711 1992 24 11004 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer