Results 31 to 40 of about 45,826 (205)

Multiplicative Holt-Winters method: pseudo-parameter and mean absolute percentage error (MAPE) values. [PDF]

, 2013
Median (and inter-quartile range) pseudo-parameter α, β, and γ values—which smooth control level, trend, and seasonal time-series components, respectively—reflect fitting of B = 500 bootstrap-generated full-length pseudo-time-series with the seasonal ...
Daniel C. Medina (81909), Seydou Doumbia (65941), Sally E. Findley (81910), Boubacar Guindo (81911)   +3 more
core   +1 more source

Forecasting Cryptocurrency Prices Using LSTM, GRU, and Bi-Directional LSTM: A Deep Learning Approach

Fractal and Fractional, 2023
Highly accurate cryptocurrency price predictions are of paramount interest to investors and researchers. However, owing to the nonlinearity of the cryptocurrency market, it is difficult to assess the distinct nature of time-series data, resulting in ...
Phumudzo Lloyd Seabe, C. Moutsinga, E. Pindza   +2 more
semanticscholar   +1 more source

Forecasting performance comparison by RMSE, MAE and MAPE. [PDF]

, 2015
RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage error.Forecasting performance comparison by RMSE, MAE and MAPE.
Yu-Jian Zheng (701008), Yan-Ling Zheng (701006), Xue-Liang Zhang (701007), Kai Wang (21246), Li-Ping Zhang (1489732)   +4 more
core   +1 more source

Multi-Objective Transport System Based on Regression Analysis and Genetic Algorithm Using Transport Data

IEEE Access, 2019
Intelligent transportation system (ITS) is a cutting-edge traffic solution employing state-of-the-art information and communication technologies. Optimized bus-scheduling, being an integral part of ITS, ensures safety, efficiency, traffic congestion ...
Moubeen Farooq Khan, Sohail Asghar, Manzoor Illahi Tamimi, Muhammad Asim Noor   +3 more
doaj   +1 more source

Mean Absolute Percentage Error for Regression Models [PDF]

, 2020
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We prove the existence of an optimal MAPE model and we show the universal consistency of Empirical Risk Minimization
Bénédicte Le Grand, Arnaud De Myttenaere, Boris Golden, Fabrice Rossi   +3 more
core  

Errors in joint moments between OpenCap and inverse dynamics using motion capture and force plates. [PDF]

, 2023
The mean absolute error (MAE), root mean square error (RMSE), and mean absolute error as a percentage of the range (MAPE) are shown for each activity and degree of freedom using the two-camera HRNet setup. (XLSX)
Jennifer L. Hicks (7470815), Michael Ko (4610419), Łukasz Kidziński (6281867), Scott L. Delp (7470818), Akshay S. Chaudhari (7116932), Scott D. Uhlrich (17240292), Antoine Falisse (6061601), Julie Muccini (17240295)   +7 more
core   +1 more source

Errors in ground reaction forces between OpenCap and force plates. [PDF]

, 2023
The mean absolute error (MAE), root mean square error (RMSE), and mean absolute error as a percentage of the range (MAPE) are shown for each activity using the two-camera HRNet setup. (XLSX)
Jennifer L. Hicks (7470815), Michael Ko (4610419), Łukasz Kidziński (6281867), Scott L. Delp (7470818), Akshay S. Chaudhari (7116932), Scott D. Uhlrich (17240292), Antoine Falisse (6061601), Julie Muccini (17240295)   +7 more
core   +1 more source

FORECASTING PRICES OF FERTILIZER RAW MATERIALS USING LONG SHORT TERM MEMORY [PDF]

, 2022
This study uses long short term memory (LSTM) modeling to predict time series data on the price of fertilizer raw materials, namely prilled urea, granular urea, ammonium sulphate((NH4)2SO4), ammonia (NH3), diammonium phosphate((NH4)2HPO4 ), phosphoric ...
Hindriyanto Dwi Purnomo, Purnomo, Hindriyanto Dwi, Ivan, Eliansion, Eliansion Ivan   +3 more
core   +2 more sources

A multi-variable multi-step Seq2seq networks for the state of charge estimation of lithium-ion battery

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
doaj   +1 more source

Analysis Accuracy Of Forecasting Measurement Technique On Random K-Nearest Neighbor (RKNN) Using MAPE And MSE

Journal of Physics: Conference Series, 2019
Forecasting is apply because of complexity and uncertainty faced by high-dimensional data available in the fields of bioinformatics, chemometrics, banking and other applications.
S. Prayudani, Ainul Hizriadi, Y. Lase, Yulia Fatmi, Al-Khowarizmi   +4 more
semanticscholar   +1 more source