Estimating Ore Grade Using Evolutionary Machine Learning Models
Gorde:
| Egile nagusia: | |
|---|---|
| Beste egile batzuk: | , , |
| Formatua: | eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Springer Nature,
2023.
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| Gaiak: | |
| Sarrera elektronikoa: | Access eBook |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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MARC
| LEADER | 00000nam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | 20016 | ||
| 005 | 20261004181931.0 | ||
| 008 | 261004s2023 o 000 eng | ||
| 020 | |a 978-981-19-8106-7 | ||
| 100 | 1 | |a Ehteram, Mohammad |9 43526 | |
| 700 | 1 | |a Khozani, Zohreh Sheikh |9 43527 | |
| 700 | 1 | |a Soltani-Mohammadi, Saeed |9 43528 | |
| 700 | 1 | |a Abbaszadeh, Maliheh |9 43529 | |
| 245 | 0 | 0 | |a Estimating Ore Grade Using Evolutionary Machine Learning Models |
| 260 | |b Springer Nature, |c 2023. | ||
| 300 | |a 1 online resource | ||
| 650 | 4 | |a Earth and Environmental Science | |
| 538 | |a Mode of access: World Wide Web. | ||
| 856 | 4 | 0 | |u https://library.mist.ac.bd/ebooks/6687/go?src=vufind |z Access eBook |
| 942 | |c EBOOK | ||
| 999 | |c 20016 |d 20016 | ||