Predicting Flowability at Disposal of Spent Heap Leach by Applying Artificial Neural Networks Based on Operational Variables.
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| Title: | Predicting Flowability at Disposal of Spent Heap Leach by Applying Artificial Neural Networks Based on Operational Variables. |
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| Authors: | Herrera, Nelson1,2 (AUTHOR) maria.sinchegonzalez@oulu.fi, Sinche Gonzalez, María1 (AUTHOR) raul.mollehuaracanales@oulu.fi, Okkonen, Jarkko3 (AUTHOR) jarkko.okkonen@gtk.fi, Mollehuara Canales, Raul1 (AUTHOR) |
| Source: | Minerals (2075-163X). Jan2024, Vol. 14 Issue 1, p40. 19p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 175080488 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=175080488 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/min14010040 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 40 Titles: – TitleFull: Predicting Flowability at Disposal of Spent Heap Leach by Applying Artificial Neural Networks Based on Operational Variables. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Herrera, Nelson – PersonEntity: Name: NameFull: Sinche Gonzalez, María – PersonEntity: Name: NameFull: Okkonen, Jarkko – PersonEntity: Name: NameFull: Mollehuara Canales, Raul IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 2075163X Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Minerals (2075-163X) Type: main |
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