A hybrid deep recurrent artificial neural network with a simple exponential smoothing feedback mechanism
Both classical forecasting methods and machine learning approaches are used to solve
forecasting problems. Deep artificial neural networks, one of the machine learning methods …
forecasting problems. Deep artificial neural networks, one of the machine learning methods …
A new single multiplicative neuron model artificial neural network based on black hole optimization algorithm: forecasting the amounts of clean water given to …
An urban water demand with high accuracy and reliability plays fundamental role in creating
a predictive water supply system. This is necessary to implement mechanisms and systems …
a predictive water supply system. This is necessary to implement mechanisms and systems …
Forecasting of Giresun Hazelnut Quantity in Giresun Province Using Pi-Sigma Artificial Neural Networks
Ö Karahasan - Turkish Journal of Forecasting, 2024 - dergipark.org.tr
Artificial neural networks are frequently used to solve many problems and give successful
results. Artificial neural networks, which we frequently encounter in solving forecasting …
results. Artificial neural networks, which we frequently encounter in solving forecasting …