A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model.
Saved in:
| Title: | A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model. |
|---|---|
| Authors: | Lashkenari, Mohammad Soleimani1, Bagheri, Mohammad1, Tatar, Afshin2, Rezazadeh, Hadi1, Inc, Mustafa3,4, minc@firat.edu.tr |
| Source: | Neural Computing & Applications; May2023, Vol. 35 Issue 14, p10663-10676, 14p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 163294456 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lashkenari%2C+Mohammad+Soleimani%22">Lashkenari, Mohammad Soleimani</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Bagheri%2C+Mohammad%22">Bagheri, Mohammad</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Tatar%2C+Afshin%22">Tatar, Afshin</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Rezazadeh%2C+Hadi%22">Rezazadeh, Hadi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Inc%2C+Mustafa%22">Inc, Mustafa</searchLink><relatesTo>3,4</relatesTo>, <i>minc@firat.edu.tr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; May2023, Vol. 35 Issue 14, p10663-10676, 14p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163294456 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-023-08256-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 10663 Titles: – TitleFull: A further study in the prediction of viscosity for Iranian crude oil reservoirs by utilizing a robust radial basis function (RBF) neural network model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lashkenari, Mohammad Soleimani – PersonEntity: Name: NameFull: Bagheri, Mohammad – PersonEntity: Name: NameFull: Tatar, Afshin – PersonEntity: Name: NameFull: Rezazadeh, Hadi – PersonEntity: Name: NameFull: Inc, Mustafa IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 05 Text: May2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 35 – Type: issue Value: 14 Titles: – TitleFull: Neural Computing & Applications Type: main |
| ResultId | 1 |