An emergent deep developmental model for auditory learning.
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| Title: | An emergent deep developmental model for auditory learning. |
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| Authors: | Wang, Dongshu1, Zhang, Yadong1, Xin, Jianbin1, j.xin@zzu.edu.cn |
| Source: | Journal of Experimental & Theoretical Artificial Intelligence; Aug2020, Vol. 32 Issue 4, p665-684, 20p |
| 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: 144667461 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An emergent deep developmental model for auditory learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wang%2C+Dongshu%22">Wang, Dongshu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Yadong%22">Zhang, Yadong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Xin%2C+Jianbin%22">Xin, Jianbin</searchLink><relatesTo>1</relatesTo>, <i>j.xin@zzu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Experimental+%26+Theoretical+Artificial+Intelligence%22">Journal of Experimental & Theoretical Artificial Intelligence</searchLink>; Aug2020, Vol. 32 Issue 4, p665-684, 20p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=144667461 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/0952813X.2019.1672795 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 665 Titles: – TitleFull: An emergent deep developmental model for auditory learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Dongshu – PersonEntity: Name: NameFull: Zhang, Yadong – PersonEntity: Name: NameFull: Xin, Jianbin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 0952813X Numbering: – Type: volume Value: 32 – Type: issue Value: 4 Titles: – TitleFull: Journal of Experimental & Theoretical Artificial Intelligence Type: main |
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