Výsledky vyhledávání - "Root Mean Square Error"

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Potential root mean square error skill score

Publikováno v: Journal of Renewable Sustainable Energy 16, 016501 (2024)

Consistency, in a narrow sense, denotes the alignment between the forecast-optimization strategy and the verification directive. The current recommended deterministic solar forecast verification practice is to report the skill score based on root mea

Externí odkaz: http://arxiv.org/abs/2409.14263

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Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values

Autor: Thombre, Amit

In this work the decision trees are used for explanation of support vector regression model. The decision trees act as a global technique as well as a local technique. They are compared against the popular technique of LIME which is a local explanato

Externí odkaz: http://arxiv.org/abs/2404.07046

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Akademický článek

Voltage root mean square error calculation for solar cell parameter estimation: A novel g-function approach

Autor: Ćalasan, Martin ^{a, ⁎}, Radonjić, Ivana ^b, Micev, Mihailo ^a, Petronijević, Milutin ^c, Pantić, Lana ^b

Publikováno v: In Heliyon 30 September 2024 10(18)

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Voltage root mean square error calculation for solar cell parameter estimation: A novel g-function approach

Autor: Martin Ćalasan, Ivana Radonjić, Mihailo Micev, Milutin Petronijević, Lana Pantić

Publikováno v: Heliyon, Vol 10, Iss 18, Pp e37887- (2024)

The existing research on estimating solar cell parameters mainly focuses on minimizing the Root-Mean-Square Error (RMSE) between the estimated and measured current values of solar cells (referred to as the RMSEI). This involves using an analytical ex

Externí odkaz: https://doaj.org/article/09a6e936d0e94b7593d32e79c60da91d

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Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction

Autor: Kumar, Ashish, Alsadoon, Abeer, Prasad, P. W. C., Abdullah, Salma, Rashid, Tarik A., Pham, Duong Thu Hang, Nguyen, Tran Quoc Vinh

The prediction of stock price movement direction is significant in financial circles and academic. Stock price contains complex, incomplete, and fuzzy information which makes it an extremely difficult task to predict its development trend. Predicting

Externí odkaz: http://arxiv.org/abs/2112.03946

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Root Mean Square Error Estimates for the Projection-Difference Method for the Approximate Solution of a Parabolic Equation with a Periodic Condition for the Solution.

Autor: Bondarev, A. S.¹ (AUTHOR) bondarev@math.vsu.ru

Publikováno v: Journal of Mathematical Sciences. Jun2023, Vol. 272 Issue 6, p866-871. 6p.

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Achieving Heisenberg scaling with maximally entangled states: an analytic upper bound for the attainable root mean square error

Autor: Belliardo, Federico, Giovannetti, Vittorio

Publikováno v: Phys. Rev. A 102, 042613 (2020)

In this paper we explore the possibility of performing Heisenberg limited quantum metrology of a phase, without any prior, by employing only maximally entangled states. Starting from the estimator introduced by Higgins et al. in New J. Phys. 11, 0730

Externí odkaz: http://arxiv.org/abs/2007.02994

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