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  • Search: subject:"Moth search algorithm"
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Year of publication
Subject
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A total of the squared deviations 2 Moth Search Algorithm 2 Optimal parameter estimation 2 PEMFC 2 Algorithm 1 Algorithmus 1 Estimation theory 1 Incremental learning 1 Mathematical programming 1 Mathematische Optimierung 1 Moth search algorithm 1 Rough set theory 1 Schätztheorie 1 Support Vector Neural Network 1 Text mining 1
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Online availability
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Free 2 CC license 1 Undetermined 1
Type of publication
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Article 3
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1 research-article 1
Language
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English 3
Author
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Su, Yumei 2 Sun, Shouqiang 2 Yin, Chengbo 2 Kittisak Jermsittiparsert 1 Mangathayaru, N. 1 Padmasree, L. 1 Venkata Sailaja, N. 1
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Published in...
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Data Technologies and Applications 1 Energy Reports 1 Energy reports 1
Source
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ECONIS (ZBW) 1 EconStor 1 Other ZBW resources 1
Showing 1 - 3 of 3
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Optimal parameters estimation of PEMFCs model using Converged Moth Search Algorithm
Sun, Shouqiang; Su, Yumei; Yin, Chengbo - In: Energy Reports 6 (2020), pp. 1501-1509
Cells (PEMFCs). The method uses a novel modified version of the Moth Search Algorithm, called Converged Moth Search … Algorithm (CMSA) to minimize the total of the squared deviations (TSD) between the output voltage and the experimental data. The …
Persistent link: https://www.econbiz.de/10012652501
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Cover Image
Optimal parameters estimation of PEMFCs model using Converged Moth Search Algorithm
Sun, Shouqiang; Su, Yumei; Yin, Chengbo; Kittisak … - In: Energy reports 6 (2020), pp. 1501-1509
Cells (PEMFCs). The method uses a novel modified version of the Moth Search Algorithm, called Converged Moth Search … Algorithm (CMSA) to minimize the total of the squared deviations (TSD) between the output voltage and the experimental data. The …
Persistent link: https://www.econbiz.de/10012266075
Saved in:
Cover Image
Incremental learning for text categorization using rough set boundary based optimized Support Vector Neural Network
Venkata Sailaja, N.; Padmasree, L.; Mangathayaru, N. - In: Data Technologies and Applications 54 (2020) 5, pp. 585-601
Purpose Text mining has been used for various knowledge discovery based applications, and thus, a lot of research has been contributed towards it. Latest trending research in the text mining is adopting the incremental learning data, as it is economical while dealing with large volume of...
Persistent link: https://www.econbiz.de/10014712650
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