Results 11 to 20 of about 6,298,628 (254)
Using the Mean Absolute Percentage Error for Regression Models [PDF]
, 2015 International audienceWe study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models.
Rossi, Fabrice +3 more
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Application of Artificial Neural Network to Solar Potential Estimation in Hilly Region of India [PDF]
Journal of Renewable Energy and Environment, 2022 The use of these conventional resources causes continuous depletion of fossil fuels and increased greenhouse effect. Solar power is the major renewable resource used for power generation across the globe.
Rahul Dogra, Sanjay Kumar, Nikita Gupta
doaj +1 more source
VAR, ARIMAX and ARIMA models for nowcasting unemployment rate in Ghana using Google trends
Journal of Electrical Systems and Information Technology, 2023 The analysis of the high volume of data spawned by web search engines on a daily basis allows scholars to scrutinize the relation between the user’s search preferences and impending facts. This study can be used in a variety of economics contexts.
Williams Kwasi Adu +2 more
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A comprehensive approach on predicting the crop yield using hybrid machine learning algorithms
Journal of Agrometeorology, 2022 Crop yield prediction is a complex task which uses historical data to predict how much yield can be obtained in a particular year. To predict accurate crop yield, a novel deep neural network named crop yield predicting deep neural network with XGBoost ...
KRITHIKHA SANJU SARAVANAN +1 more
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Aplikasi Triple Exponential Smoothing Untuk Forecasting Jumlah Penduduk Miskin
Jurnal Derivat, 2016 This study aims to predict the number of poor in Indonesia for the next few years using a triple exponential smoothing method. The purpose of this research is the result of the forecast number of poor people in Indonesia accurate forecast results are ...
Padrul Jana
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Improving Lettuce Fresh Weight Estimation Accuracy through RGB-D Fusion
Agronomy, 2023 Computer vision provides a real-time, non-destructive, and indirect way of horticultural crop yield estimation. Deep learning helps improve horticultural crop yield estimation accuracy. However, the accuracy of current estimation models based on RGB (red,
Dan Xu +3 more
doaj +1 more source
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 +3 more
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Forecast Error Calculation with Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE)
JINAV: Journal of Information and Visualization, 2020 Calculation errors in forecasting a data are very important from a forecasting process. The high level of forecasting accuracy will affect the level of confidence in forecasting decision making.
openaire +1 more source
, 2023 Mean absolute error (MAE), R squared, root mean squared error (RMSE), symmetric mean absolute percentage error (SMAPE) for train, test & validation data.
Swapnashree Satapathy (15426889) +9 more
core +1 more source
Fuzzy Inference System Mamdani dan the Mean Absolute Percentage Error (MAPE) untuk Prediksi Permintaan Dompet Pulsa pada XL Axiata Depok [PDF]
Jurnal Informatika Universitas Pamulang, 2017 Kemajuan perkembangan teknologi informasi pada era globalisasi sekarang ini sangat pesat; hal ini menuntut setiap perusahaan untuk dapat saling bersaing dalam dunia bisnis yang dinamis dan penuh persaingan. Pada proses manjaemen permintaan dompet pulsa di XL Axiata cabang Depok memerlukan peramalan yang cukup matang agar dompet pulsa yang diminta ...
openaire +2 more sources