A new single multiplicative neuron model artificial neural network based on black hole optimization algorithm: forecasting the amounts of clean water given to metropolis
Author:
Funder
Yükseköğretim Kurulu
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00477-024-02802-3.pdf
Reference53 articles.
1. Adamowski J, Karapataki C (2010) Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms. J Hydrol Eng 15:729–743
2. Aladag CH (2013) Using multiplicative neuron model to establish fuzzy logic relationships. Expert Syst Appl 40:850–853
3. Almanjahie IM, Elmezouar ZC, Baig MB, Ahmad I (2021) Modeling of water consumption in Saudi Arabia using classical and modern time series methods. Arab J Geosci 14:1–8
4. Altunkaynak A, Nigussie TA (2017) Monthly water consumption prediction using season algorithm and wavelet transform–based models. J Water Resour Plan Manag 143:04017011
5. Bas E (2016) The training of multiplicative neuron model based artificial neural networks with differential evolution algorithm for forecasting. J Artif Intell Soft Comput Res 6:5–11
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