Proposal of heuristic regression method applied in descriptive data analysis: case studies
| Autor: | Viviane M. Gomes, Marcio R. C. Reis, Wesley P. Calixto, Flavio A. Gomes, Wanderson R. H. Araujo, Sostenes G. M. Oliveira, Alfredo de Oliveira Assis |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
lcsh:GE1-350
Descriptive statistics Computer science Heuristic (computer science) data analysis Extrapolation Experimental data computer.software_genre Regression regression Data mining lcsh:Electrical engineering. Electronics. Nuclear engineering Mathematical structure Algorithm computer optimization lcsh:TK1-9971 lcsh:Environmental sciences |
| Zdroj: | Transactions on Environment and Electrical Engineering, Vol 2, Iss 2, Pp 51-57 (2017) |
| ISSN: | 2450-5730 |
| Popis: | The purpose of this paper is to use the hybridized optimization method in order to find mathematical structures for analysis of experimental data. The heuristic optimization method will be hybridized with deterministic optimization method in order to that structures found require not knowledge about data generated experimentally. Five case studies are proposed and discussed to validate the results. The proposed method has viable solution for the analysis of experimental data and extrapolation, with mathematical expression reduced. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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