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A time-series forecasting performance comparison for neural networks with state space and ARIMA models
(IEOM Society InternationalUnited States, 2020)
Models of performance of time series forecasters
(Elsevier B.V., 2013)
Water flows modelling and forecasting using a RBF neural network
(Universidad IcesiFacultad de Ingeniería, 2008-12-17)
A hydrologic estimation model base on the utilization of radial basis function neural networks is presented, in which the aim is to forecast stream flows in an automated fashion. The problem of river flow forecasting is ...
Feasibility of implementing an automated forecasting system to control potato late blight in Southern ChileFACTIBILIDAD DE IMPLEMENTAR PRONOSTICADORES AUTOMATIZADOS PARA CONTROLAR EL TIZÓN TARDIO DE LA PAPA EN EL SUR DE CHILE
(Facultad de Ciencias Agrarias. Universidad Austral de Chile, 2008)
Artificial neural networks in time series forecasting: a comparative analysisKYBERNETIKAKYBERNETIKA
(INSTITUTE OF INFORMATION THEORY AND AUTOMATION OF THE ACADEMY OF SCIENCES, 2017)
Predicting short-term electricity demand through artificial neural network
(Corporación Universidad de la Costa, 2021)
Systematic exploration of signal-based indicators for failure diagnosis in the context of cyber-physical systems
(Zhejiang University, 2019-01-01)
Malfunction or breakdown of certain mission critical systems (MCSs) may cause losses of life, damage the environments, and/or lead to high costs. Therefore, recognition of emerging failures and preventive maintenance are ...
Prediction of electric consumption using multiple linear regression methods
(Corporación Universidad de la Costa, 2021)
The behavior of the annual electricity demand and the role of economic growth in Colombia
(Corporación Universidad de la Costa, 2022)
Agile Inventory Management Model Under a Digital Transformation Approach for Stockout Reduction in Chemical Industry’s MSE
(Springer, 2020-01-01)
Through digital transformation, company processes that are, or could be, conducted manually are reduced; moreover, human tasks are automated when software-based processes are established. This paper analyzes the adoption ...