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- W2369439554 abstract "With continuous development of computer technology, neural networks as a data-processing structure emerge as the times require. Traditional remote sensing to seek ores is depended on eye observation/explanation, and translation to mark with circle target area, but it meets a difficult problem in hidden and blind ores. To find interrelated weak information is very difficult. Neural networks can simulate human brain function to pick-up interrelated mineralization weak information in search for hidden and blind ores. Application of neural networks is simply introduced, and hoped to point out to find ores using remote sensing technology in the future." @default.
- W2369439554 created "2016-06-24" @default.
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- W2369439554 date "2003-01-01" @default.
- W2369439554 modified "2023-09-26" @default.
- W2369439554 title "NEURAL NETWORKS CLASSIFIED APPLICATION IN INSIDIOUS OR SCOTOMA MINEITEM" @default.
- W2369439554 hasPublicationYear "2003" @default.
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