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Wyszukujesz frazę "component method" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
The TDP method of seed yield component analysis in grain legume breeding
Autorzy:
Golaszewski, J
Idzkowska, M.
Milewska, J.
Powiązania:
https://bibliotekanauki.pl/articles/2044235.pdf
Data publikacji:
1998
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
breeding population
path analysis
stem
treatment factor
multiple regression
yield component
grain legume
multivariate method
seed
two-dimensional partitioning method
Vicia faba
ontogenesis
plant height
fruiting node
broad bean
fodder pea
Pisum sativum
Opis:
The results of plant breeding trials with populations of fodder pea strains and broad bean hybrids were the basis of consideration on the interrelationship between some traits - the yield structure elements. Developed by Eaton, a relatively new method of yield component analysis called the two-dimensional partitioning method (TDP) was applied to analyse the data. The method, which combines multiple regression and ANOVA, allows for concise tabular presentation and simple interpretation of the distribution of traits in one direction and the sources of variance according to ANOVA model in the other direction. Additionally, the interpretation of the results was supported by such standard statistical techniques as ANOVA, simple and multiple regression and path analysis. The main components of pea yielding were plant height and the number of pods per plant. Among the analysed characters of broad bean the number of nodes with pods on the main stem, which turned out to be the determinant of broad bean yielding, might be strongly affected by environmental conditions. The number of nodes with pods might be considered a selecting character of high potential yielding of broad bean genotypes.
Źródło:
Journal of Applied Genetics; 1998, 39, 4; 299-308
1234-1983
Pojawia się w:
Journal of Applied Genetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid GRA-PCA and modified weighted TOPSIS coupled with Taguchi for multi-response process parameter optimization in turning AISI 1040 steel
Autorzy:
Mst. Nazma, Sultana
Nikhil Ranjan, Dhar
Powiązania:
https://bibliotekanauki.pl/articles/1845051.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
grey relational analysis
principal component analysis
Taguchi method
analysis of variance
cryogenic cooling
szara analiza relacyjna
analiza głównych składowych
metoda Taguchi
analiza wariancji
chłodzenie kriogeniczne
Opis:
The objective of the present study is to optimize multiple process parameters in turning for achieving minimum chip-tool interface temperature, surface roughness and specific cutting energy by using numerical models. The proposed optimization models are offline conventional methods, namely hybrid Taguchi-GRA-PCA and Taguchi integrated modified weighted TOPSIS. For evaluating the effects of input process parameters both models use ANOVA as a supplementary tool. Moreover, simple linear regression analysis has been performed for establishing mathematical relationship between input factors and responses. A total of eighteen experiments have been conducted in dry and cryogenic cooling conditions based on Taguchi L18 orthogonal array. The optimization results achieved by hybrid Taguchi-GRA-PCA and modified weighted TOPSIS manifest that turning at a cutting speed of 144 m/min and a feed rate of 0.16 mm/rev in cryogenic cooling condition optimizes the multi-responses concurrently. The prediction accuracy of the modified weighted TOPSIS method is found better than hybrid Taguchi-GRA-PCA using regression analysis.
Źródło:
Archive of Mechanical Engineering; 2021, LVIII, 1; 23-49
0004-0738
Pojawia się w:
Archive of Mechanical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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