Hybrid soft computing approach for determining water quality indicator: Euphrates River.
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| Title: | Hybrid soft computing approach for determining water quality indicator: Euphrates River. |
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| Authors: | Li, Jing1,2, Abdulmohsin, Husam Ali3, Hasan, Samer Sami3, Kaiming, Li4, jlleaf@lzcu.edu.cn, Al-Khateeb, Belal5, Ghareb, Mazen Ismaeel6,7, Mohammed, Muamer N.8,9 |
| Source: | Neural Computing & Applications; Mar2019, Vol. 31 Issue 3, p827-837, 11p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 135394508 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=aci&AN=135394508 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-017-3112-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 827 Titles: – TitleFull: Hybrid soft computing approach for determining water quality indicator: Euphrates River. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Jing – PersonEntity: Name: NameFull: Abdulmohsin, Husam Ali – PersonEntity: Name: NameFull: Hasan, Samer Sami – PersonEntity: Name: NameFull: Kaiming, Li – PersonEntity: Name: NameFull: Al-Khateeb, Belal – PersonEntity: Name: NameFull: Ghareb, Mazen Ismaeel – PersonEntity: Name: NameFull: Mohammed, Muamer N. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 31 – Type: issue Value: 3 Titles: – TitleFull: Neural Computing & Applications Type: main |
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