Results 31 to 40 of about 883,257 (272)

Artificial Neural Network Models to Predict the Cost and Time of Wastewater Projects

Journal of Engineering, 2023
Infrastructure, especially wastewater projects, plays an important role in the life of residential communities. Due to the increasing population growth, there is also a significant increase in residential and commercial facilities. This research aims to
Atheer M. Al-Saady , Sedqi E. Rezouki
doaj   +1 more source

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

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

Developing and Preliminary Testing of a Machine Learning-Based Platform for Sales Forecasting Using a Gradient Boosting Approach

Applied Sciences, 2022
Organizations engaged in business, regardless of the industry in which they operate, must be able to extract knowledge from the data available to them. Often the volume of customer and supplier data is so large, the use of advanced data mining algorithms
Antonio Panarese, Giuseppina Settanni, Valeria Vitti, Angelo Galiano   +3 more
doaj   +1 more source

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, Mohd Tahir ISMAIL, Mosab I. TABASH, Ahmed ABOUSAMAK   +3 more
doaj   +1 more source

A new accuracy measure based on bounded relative error for time series forecasting [PDF]

, 2017
Many accuracy measures have been proposed in the past for time series forecasting comparisons. However, many of these measures suffer from one or more issues such as poor resistance to outliers and scale dependence.
A Davydenko, A Esfahanipour, C Chatfield, Chao Chen, DJ Wright, I Svalina, Jamie Twycross, JG De Gooijer, Jonathan M. Garibaldi, JS Armstrong, JS Armstrong, JS Armstrong, JS Armstrong, K Ord, LY Wei, MA Boyacioglu, MP Clements, P Goodwin, PJ Fleming, R Fildes, RJ Hyndman, S Makridakis, S Makridakis, S Makridakis, SG Makridakis, Zhong-Ke Gao, ZK Gao, ZK Gao, ZK Gao, ZK Gao, ZO Olaofe   +30 more
core   +2 more sources

A weighted error-minimizer parameter estimation technique for one-inflated positive Poisson distribution

Results in Control and Optimization
An 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
doaj   +1 more source

中国寧夏地域における日照時間から日積算日射量の推定 [PDF]

, 2009
For the estimation of daily solar radiation from sunshine duration, observation data of Yinchuan station in Ningxia, China was used. Using a linear relationship between solar radiation and extraterrestrial radiation including relative sunshine duration ...
Tsukamoto, Osamu, Yang, Qin
core   +1 more source

Evaluation of load forecasting using different models

Measurement: Energy
This paper addresses a new prediction of load technique that joins the adaptability of RNNs with the capabilities of temporal modelling of Kolmogorov–Arnold Recurrent with good accuracy, because in energy management, load forecasting is essential since ...
Saroj Kumar Panda, Bishwajit Dey
doaj   +1 more source

Empirical risk minimization is consistent with the mean absolute percentage error

, 2015
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE) regression.
de Myttenaere, Arnaud, Le Grand, Bénédicte, Rossi, Fabrice   +2 more
openaire   +3 more sources