Application of trembling-hand perfect equilibrium to Nash nonlinear Grey Bernoulli model: an example of BRIC's GDP forecasting.
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| Title: | Application of trembling-hand perfect equilibrium to Nash nonlinear Grey Bernoulli model: an example of BRIC's GDP forecasting. |
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| Authors: | Hsin, Pei-Han1, Chen, Chun-I2 eddychen777@gmail.com |
| Source: | Neural Computing & Applications. Dec2017 Supplement 1, Vol. 28, p269-274. 6p. |
| Subjects: | Gray forecasting model, Gross domestic product, Nash equilibrium, Bernoulli hypothesis (Risk), Linear property |
| Abstract: | The traditional Grey forecasting model, GM(1,1), is characterized by its linear property. The Nash nonlinear Grey Bernoulli model further increases the forecasting accuracy by considering two governing parameters in the model. Because of the multiple Nash solutions, this study uses trembling-hand perfect equilibrium to refine the NNGBM and then obtains higher forecasting accuracy. This study mathematically proves that the proposed model is feasible and efficient. Finally, NNGBM with trembling-hand perfect equilibrium is used to forecast GDP of four fast-growing countries, Brazil, Russia, India and China, which are abbreviated as BRIC. The results show that BRIC's GDP is keeping on growing. [ABSTRACT FROM AUTHOR] |
| Copyright of Neural Computing & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Application of trembling-hand perfect equilibrium to Nash nonlinear Grey Bernoulli model: an example of BRIC's GDP forecasting. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hsin%2C+Pei-Han%22">Hsin, Pei-Han</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chen%2C+Chun-I%22">Chen, Chun-I</searchLink><relatesTo>2</relatesTo><i> eddychen777@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>. Dec2017 Supplement 1, Vol. 28, p269-274. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Gray+forecasting+model%22">Gray forecasting model</searchLink><br /><searchLink fieldCode="DE" term="%22Gross+domestic+product%22">Gross domestic product</searchLink><br /><searchLink fieldCode="DE" term="%22Nash+equilibrium%22">Nash equilibrium</searchLink><br /><searchLink fieldCode="DE" term="%22Bernoulli+hypothesis+%28Risk%29%22">Bernoulli hypothesis (Risk)</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+property%22">Linear property</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The traditional Grey forecasting model, GM(1,1), is characterized by its linear property. The Nash nonlinear Grey Bernoulli model further increases the forecasting accuracy by considering two governing parameters in the model. Because of the multiple Nash solutions, this study uses trembling-hand perfect equilibrium to refine the NNGBM and then obtains higher forecasting accuracy. This study mathematically proves that the proposed model is feasible and efficient. Finally, NNGBM with trembling-hand perfect equilibrium is used to forecast GDP of four fast-growing countries, Brazil, Russia, India and China, which are abbreviated as BRIC. The results show that BRIC's GDP is keeping on growing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Neural Computing & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00521-016-2340-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 269 Subjects: – SubjectFull: Gray forecasting model Type: general – SubjectFull: Gross domestic product Type: general – SubjectFull: Nash equilibrium Type: general – SubjectFull: Bernoulli hypothesis (Risk) Type: general – SubjectFull: Linear property Type: general Titles: – TitleFull: Application of trembling-hand perfect equilibrium to Nash nonlinear Grey Bernoulli model: an example of BRIC's GDP forecasting. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hsin, Pei-Han – PersonEntity: Name: NameFull: Chen, Chun-I IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 12 Text: Dec2017 Supplement 1 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 09410643 Numbering: – Type: volume Value: 28 Titles: – TitleFull: Neural Computing & Applications Type: main |
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