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Wyszukujesz frazę "fitting function" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Calibration of reference torque transducer in one direction and use of its cubic coefficients in both directions with improved interpolation error
Autorzy:
Khaled, K. M.
Osman, Seif M.
Powiązania:
https://bibliotekanauki.pl/articles/2173893.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
torque
calibration
fitting function
clockwise
counterclockwise
Opis:
The current research work presents an investigation into use of the fitting coefficients resulting from the cubic curve fitting of the torque transducer calibration results in one direction to calculate the actual torque in the other torque direction with two methods: one is direct substitution with the nominal torque which gives a propagated linear relative interpolation error and the other is changing the sign of the second coefficient in the cubic function when using in the other torque direction. This proposed modification improves the absolute relative interpolation error by 5 to 16 times in the clockwise and counterclockwise directions based on the torque transducer’s classification.
Źródło:
Metrology and Measurement Systems; 2022, 29, 3; 539--551
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Curve fitting problem: torque–velocity relationship with polynomials and Boltzmann sigmoid functions
Autorzy:
Milanov, P.
Koroleova, G.
Mavrevski, R.
Pencheva, N.
Powiązania:
https://bibliotekanauki.pl/articles/307013.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
prędkość
staw łokciowy
wielomiany
funkcja Boltzmanna
torque–velocity relationship
elbow flexors
extensors
Boltzmann sigmoid
polynomials
fitting function
model selection criteria
Opis:
The aim of this study was to investigate the curve fitting and model selection problem of the torque–velocity relationship of elbow flexors and extensors in untrained females. The second goal was to determine the optimal models in different function classes and the best, among the optimal ones. Lastly, test the best models to predict the torque were tested. Methods: Using the polynomials (second – fourth degree) and Boltzmann sigmoid functions, and a different presentation of data points (averages, a point cloud, etc.), we determined the optimal models by both error criteria: minimum residual sum of squares and minimum of the maximal absolute residue. To assess the best models, we applied Akaike and Bayesian information criteria, Hausdorff distance and the minimum of the smallest maximal absolute residue and the predictive torque–velocity relationships of the best models with torque values, calculated beyond the experimental velocity interval. Results: The application of different error and model selection criteria showed that the best models in the majority of cases were polynomials of fourth degree, with some exceptions from second and third degree. The criteria values for the optimal Boltzmann sigmoids were very close to those of the best polynomial models. However, the predicted torque–velocity relationships had physiological behavior only in Boltzmann’s sigmoid functions, and their parameters had a clear interpretation. Conclusion: The results obtained suggest that the Boltzmann sigmoid functions are suitable for modeling and predicting of the torque–velocity relationship of elbow flexors and extensors in untrained females, as compared to polynomials, and their curves are physiologically relevant.
Źródło:
Acta of Bioengineering and Biomechanics; 2018, 20, 1; 169-184
1509-409X
2450-6303
Pojawia się w:
Acta of Bioengineering and Biomechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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