Applications of Artificial Neural Networks for Nonlinear Data
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| Title: | Applications of Artificial Neural Networks for Nonlinear Data |
|---|---|
| Description: | Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems. |
| Authors: | Hiral Ashil Patel, A.V. Senthil Kumar |
| Resource Type: | eBook. |
| Subjects: | Neural networks (Computer science), Quantitative research--Data processing, Nonlinear systems--Data processing |
| Categories: | COMPUTERS / Data Science / Neural Networks, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Machine Theory |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Applications of Artificial Neural Networks for Nonlinear Data – Name: Abstract Label: Description Group: Ab Data: Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hiral+Ashil+Patel%22">Hiral Ashil Patel</searchLink><br /><searchLink fieldCode="AR" term="%22A%2EV%2E+Senthil+Kumar%22">A.V. Senthil Kumar</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Neural+networks+%28Computer+science%29%22">Neural networks (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research--Data+processing%22">Quantitative research--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Nonlinear+systems--Data+processing%22">Nonlinear systems--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Neural+Networks%22">COMPUTERS / Data Science / Neural Networks</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Machine+Theory%22">COMPUTERS / Machine Theory</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 001.420285632 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Neural networks (Computer science) Type: general – SubjectFull: Quantitative research--Data processing Type: general – SubjectFull: Nonlinear systems--Data processing Type: general Titles: – TitleFull: Applications of Artificial Neural Networks for Nonlinear Data Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hiral Ashil Patel – PersonEntity: Name: NameFull: A.V. Senthil Kumar – PersonEntity: Name: NameFull: Hiral Ashil Patel – PersonEntity: Name: NameFull: A.V. Senthil Kumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 13 M: 03 Type: profile Y: 2021 Identifiers: – Type: isbn-print Value: 9781799840428 – Type: isbn-electronic Value: 9781799840435 – Type: isbn-electronic Value: 9781799840442 Titles: – TitleFull: Applications of Artificial Neural Networks for Nonlinear Data Type: main |
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