Results 41 to 50 of about 2,392,377 (346)
Saintekbu, 2019 Mean Absolute Error (MAE) adalah dua diantara banyak metode untuk mengukur tingkat keakuratan suatu model peramalan. Nilai MAE merepresentasikan rata – rata kesalahan (error) absolut antara hasil peramalan dengan nilai sebenarnya.
A. Suryanto, Asfan Muqtadir
semanticscholar +1 more source
, 2020 The comparison of benchmark error sets is an essential tool for the evaluation of theories in computational chemistry. The standard ranking of methods by their Mean Unsigned Error is unsatisfactory for several reasons linked to the non-normality of the ...
Pernot, Pascal, Savin, Andreas
core +2 more sources
Signal Estimation with Additive Error Metrics in Compressed Sensing [PDF]
, 2013 Compressed sensing typically deals with the estimation of a system input from its noise-corrupted linear measurements, where the number of measurements is smaller than the number of input components.
Danielle Carmon +4 more
core +3 more sources
ACCRUED FORECASTING ON TOURIST’S ARRIVAL IN BANGLADESH FOR SUSTAINABLE DEVELOPMENT [PDF]
Geo Journal of Tourism and Geosites, 2021 Forecasting of potential tourists’ appearance could assume a critical role in the tourism industry, arranging at all levels in both the private and public sectors.
Sayed Mohibul HOSSEN +3 more
doaj +1 more source
Indian Journal of Dental Research, 2019 Background: Most of the scientific formulae for age estimation in forensic odontology were tested among western population and hence cannot be applied to the Indian population consistently. Therefore, it was in this context that Dr. Ashith B. Acharya had
S Akhil +3 more
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Agriculture, 2022 To ensure continued food security and economic development in Africa, it is very important to address and adapt to climate change. Excessive dependence on rainfed agricultural production makes Africa more vulnerable to climate change effects.
Chimango Nyasulu +4 more
doaj +1 more source
Barekeng, 2007 Forecasting is an activity to use the past data as the basic to predict the future event that will occur. The result from the prediction is an un-sure event or just a guess, but with some certain methods then the prediction will be more than a guess, it ...
Grace Loupatty
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Case Studies in Thermal Engineering, 2023 Due to the complexity and changeable of lithium-ion batteries, we propose a multi-variable and multi-step Temporal neural network to cover this task. Specially, a novel multi-step training strategy is applied to deal with long time sequences, and multi ...
Yufeng Huang, Jian Sun, Lei Xu
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Results in Control and OptimizationAn error-minimizing estimator is always preferred in model fittings. However, each error-minimizing estimator minimizes error differently. This paper combines four error-minimizing estimators, which are root mean-squared error, mean absolute error, root ...
Razik Ridzuan Mohd Tajuddin
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