Emerging Capabilities and Applications of Artificial Higher Order Neural Networks
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| Title: | Emerging Capabilities and Applications of Artificial Higher Order Neural Networks |
|---|---|
| Description: | Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural network products and change the research methodology that people are currently using in control and recognition areas for the control signal generating, pattern recognition, nonlinear recognition, classification, and prediction. Since HONNs are open box models, they can be easily accepted and used by individuals working in information science, information technology, management, economics, and business fields. Emerging Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression, pattern recognition, and data prediction, this book is ideally designed for data analysists, IT specialists, engineers, researchers, academics, students, and professionals working in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering research. |
| Authors: | Ming Zhang |
| Resource Type: | eBook. |
| Subjects: | Neural networks (Computer science)--Industrial applications, Engineering--Data processing, Business--Decision making--Data processing |
| Categories: | COMPUTERS / Artificial Intelligence / General, COMPUTERS / General, COMPUTERS / Data Science / Neural Networks |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Emerging Capabilities and Applications of Artificial Higher Order Neural Networks – Name: Abstract Label: Description Group: Ab Data: Artificial neural network research is one of the new directions for new generation computers. Current research suggests that open box artificial higher order neural networks (HONNs) play an important role in this new direction. HONNs will challenge traditional artificial neural network products and change the research methodology that people are currently using in control and recognition areas for the control signal generating, pattern recognition, nonlinear recognition, classification, and prediction. Since HONNs are open box models, they can be easily accepted and used by individuals working in information science, information technology, management, economics, and business fields. Emerging Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition areas and explains why HONNs can approximate any nonlinear data to any degree of accuracy, their ease of use, and how they can have better nonlinear data recognition accuracy than SAS nonlinear procedures. Featuring coverage on a broad range of topics such as nonlinear regression, pattern recognition, and data prediction, this book is ideally designed for data analysists, IT specialists, engineers, researchers, academics, students, and professionals working in the fields of economics, business, modeling, simulation, control, recognition, computer science, and engineering research. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ming+Zhang%22">Ming Zhang</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--Industrial+applications%22">Neural networks (Computer science)--Industrial applications</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering--Data+processing%22">Engineering--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Business--Decision+making--Data+processing%22">Business--Decision making--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+General%22">COMPUTERS / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Neural+Networks%22">COMPUTERS / Data Science / Neural Networks</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 006.32 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Neural networks (Computer science)--Industrial applications Type: general – SubjectFull: Engineering--Data processing Type: general – SubjectFull: Business--Decision making--Data processing Type: general Titles: – TitleFull: Emerging Capabilities and Applications of Artificial Higher Order Neural Networks Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ming Zhang – PersonEntity: Name: NameFull: Ming Zhang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 03 M: 05 Type: profile Y: 2021 Identifiers: – Type: isbn-print Value: 9781799835639 – Type: isbn-electronic Value: 9781799835653 – Type: isbn-electronic Value: 9781799835660 Titles: – TitleFull: Emerging Capabilities and Applications of Artificial Higher Order Neural Networks Type: main |
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