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International Advances in Economic Research, 2009
Commonly used Mean Absolute Percentage Errors (MAPE) and the authors’ revised Mean Absolute Percentage Errors (RMAPE) are applied to measure the forecasting accuracy from different Moving Average Methods for independent time series. Simulation results show that both MAPE and RMAPE can only provide sensitive forecasting accuracy measurements on Moving ...
Louie Ren, Yong Glasure
openaire +3 more sources
Commonly used Mean Absolute Percentage Errors (MAPE) and the authors’ revised Mean Absolute Percentage Errors (RMAPE) are applied to measure the forecasting accuracy from different Moving Average Methods for independent time series. Simulation results show that both MAPE and RMAPE can only provide sensitive forecasting accuracy measurements on Moving ...
Louie Ren, Yong Glasure
openaire +3 more sources
Crop yield prediction with deep convolutional neural networks
Computers and Electronics in Agriculture, 2019Using remote sensing and UAVs in smart farming is gaining momentum worldwide. The main objectives are crop and weed detection, biomass evaluation and yield prediction. Evaluating machine learning methods for remote sensing based yield prediction requires
Petteri Nevavuori +2 more
semanticscholar +1 more source
Expert systems with applications, 2018
Forecasting a financial asset's price is important as one can lower the risk of investment decision- making with accurate forecasts. Recently, the deep neural network is popularly applied in this area of research; however, it is prone to overfitting ...
Yujin Baek, Ha Young Kim
semanticscholar +1 more source
Forecasting a financial asset's price is important as one can lower the risk of investment decision- making with accurate forecasts. Recently, the deep neural network is popularly applied in this area of research; however, it is prone to overfitting ...
Yujin Baek, Ha Young Kim
semanticscholar +1 more source
Water Research
Total phosphorus (TP) is non-optically active, thus TP concentration (CTP) estimation using remote sensing still exists grand challenge. This study developed a deep neural network model (DNN) for CTP estimation with synchronous in-situ measurements and ...
H. Guo +4 more
semanticscholar +1 more source
Total phosphorus (TP) is non-optically active, thus TP concentration (CTP) estimation using remote sensing still exists grand challenge. This study developed a deep neural network model (DNN) for CTP estimation with synchronous in-situ measurements and ...
H. Guo +4 more
semanticscholar +1 more source
Heliyon
This research delves into the obstacles and difficulties associated with predicting cryptocurrency movements in the volatile global financial market. This study develops and evaluates an advanced Deep Learning-Enhanced Temporal Fusion Transformer (ADE ...
Arslan Farooq +5 more
semanticscholar +1 more source
This research delves into the obstacles and difficulties associated with predicting cryptocurrency movements in the volatile global financial market. This study develops and evaluates an advanced Deep Learning-Enhanced Temporal Fusion Transformer (ADE ...
Arslan Farooq +5 more
semanticscholar +1 more source
Measuring Relative Accuracy: A Better Alternative to Mean Absolute Percentage Error
, 2013C. Tofallis
semanticscholar +1 more source
MAPE accuracy of CPO Forecasting by Applying Fuzzy Time Series
2021Arif Ridho Lubis, Muharman Lubis
exaly