Estimating Ore Grade Using Evolutionary Machine Learning Models:
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer Nature Singapore
2023
Singapore Springer |
| Ausgabe: | 1st ed. 2023 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FAN01 FAW01 FFW01 FHD01 FHM01 FKE01 TUM01 UBM01 UBT01 UEI01 UPA01 Volltext |
| Beschreibung: | 1 Online-Ressource (XIII, 101 p. 45 illus., 39 illus. in color) |
| ISBN: | 9789811981067 |
| DOI: | 10.1007/978-981-19-8106-7 |
Internformat
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Datensatz im Suchindex
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| author | Ehteram, Mohammad Khozani, Zohreh Sheikh Soltani-Mohammadi, Saeed Abbaszadeh, Maliheh |
| author_facet | Ehteram, Mohammad Khozani, Zohreh Sheikh Soltani-Mohammadi, Saeed Abbaszadeh, Maliheh |
| author_role | aut aut aut aut |
| author_sort | Ehteram, Mohammad |
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| discipline_str_mv | Chemie / Pharmazie Geowissenschaften Umwelt |
| doi_str_mv | 10.1007/978-981-19-8106-7 |
| edition | 1st ed. 2023 |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:17:07Z |
| indexdate | 2024-07-10T09:44:46Z |
| institution | BVB |
| isbn | 9789811981067 |
| language | English |
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| spelling | Ehteram, Mohammad Verfasser aut Estimating Ore Grade Using Evolutionary Machine Learning Models by Mohammad Ehteram, Zohreh Sheikh Khozani, Saeed Soltani-Mohammadi, Maliheh Abbaszadeh 1st ed. 2023 Singapore Springer Nature Singapore 2023 Singapore Springer 1 Online-Ressource (XIII, 101 p. 45 illus., 39 illus. in color) txt rdacontent c rdamedia cr rdacarrier Mineralogy Machine Learning Data Science Artificial Intelligence Machine learning Artificial intelligence—Data processing Artificial intelligence Khozani, Zohreh Sheikh aut Soltani-Mohammadi, Saeed aut Abbaszadeh, Maliheh aut Erscheint auch als Druck-Ausgabe 978-981-1981-05-0 Erscheint auch als Druck-Ausgabe 978-981-1981-07-4 Erscheint auch als Druck-Ausgabe 978-981-1981-08-1 https://doi.org/10.1007/978-981-19-8106-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Ehteram, Mohammad Khozani, Zohreh Sheikh Soltani-Mohammadi, Saeed Abbaszadeh, Maliheh Estimating Ore Grade Using Evolutionary Machine Learning Models Mineralogy Machine Learning Data Science Artificial Intelligence Machine learning Artificial intelligence—Data processing Artificial intelligence |
| title | Estimating Ore Grade Using Evolutionary Machine Learning Models |
| title_auth | Estimating Ore Grade Using Evolutionary Machine Learning Models |
| title_exact_search | Estimating Ore Grade Using Evolutionary Machine Learning Models |
| title_exact_search_txtP | Estimating Ore Grade Using Evolutionary Machine Learning Models |
| title_full | Estimating Ore Grade Using Evolutionary Machine Learning Models by Mohammad Ehteram, Zohreh Sheikh Khozani, Saeed Soltani-Mohammadi, Maliheh Abbaszadeh |
| title_fullStr | Estimating Ore Grade Using Evolutionary Machine Learning Models by Mohammad Ehteram, Zohreh Sheikh Khozani, Saeed Soltani-Mohammadi, Maliheh Abbaszadeh |
| title_full_unstemmed | Estimating Ore Grade Using Evolutionary Machine Learning Models by Mohammad Ehteram, Zohreh Sheikh Khozani, Saeed Soltani-Mohammadi, Maliheh Abbaszadeh |
| title_short | Estimating Ore Grade Using Evolutionary Machine Learning Models |
| title_sort | estimating ore grade using evolutionary machine learning models |
| topic | Mineralogy Machine Learning Data Science Artificial Intelligence Machine learning Artificial intelligence—Data processing Artificial intelligence |
| topic_facet | Mineralogy Machine Learning Data Science Artificial Intelligence Machine learning Artificial intelligence—Data processing Artificial intelligence |
| url | https://doi.org/10.1007/978-981-19-8106-7 |
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