Kernel density estimation of three-parameter Weibull distribution with neural network and genetic algorithm
• The initial estimations were obtained by the RRM and GM(1,1). • The proposed way to deal with the estimation problem was an optimization problem. • Neural network was adopted as approximate model based on the samples. • GA was selected for optimization method based on the neural network model....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yang, Fan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Systematik: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Geodesic synchrotron radiation in black hole spacetimes: Analytical investigation - Moreira, Zeus S. ELSEVIER, 2021, New York, NY |
|---|---|
| Übergeordnetes Werk: |
volume:247 ; year:2014 ; day:15 ; month:11 ; pages:803-814 ; extent:12 |
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| DOI / URN: |
10.1016/j.amc.2014.09.065 |
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Kernel density estimation of three-parameter Weibull distribution with neural network and genetic algorithm |
| abstract |
• The initial estimations were obtained by the RRM and GM(1,1). • The proposed way to deal with the estimation problem was an optimization problem. • Neural network was adopted as approximate model based on the samples. • GA was selected for optimization method based on the neural network model. |
| abstractGer |
• The initial estimations were obtained by the RRM and GM(1,1). • The proposed way to deal with the estimation problem was an optimization problem. • Neural network was adopted as approximate model based on the samples. • GA was selected for optimization method based on the neural network model. |
| abstract_unstemmed |
• The initial estimations were obtained by the RRM and GM(1,1). • The proposed way to deal with the estimation problem was an optimization problem. • Neural network was adopted as approximate model based on the samples. • GA was selected for optimization method based on the neural network model. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHY SSG-OPC-AST |
| title_short |
Kernel density estimation of three-parameter Weibull distribution with neural network and genetic algorithm |
| url |
https://doi.org/10.1016/j.amc.2014.09.065 |
| remote_bool |
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| author2 |
Yue, Zhufeng |
| author2Str |
Yue, Zhufeng |
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| doi_str |
10.1016/j.amc.2014.09.065 |
| up_date |
2024-07-06T21:27:44.243Z |
| _version_ |
1803866618455916544 |
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