Comment on ‘Kişi Ö. 2009. Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks. Hydrological Processes 23: 213-223’

Radial Basis ◽

Daily Pan Evaporation

Reply to comment on ‘Kişi Ö. 2009. Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks. Hydrological Processes 23(2): 213-223’

Hydrological Processes ◽

10.1002/hyp.7715 ◽

2010 ◽

Vol 24 (21) ◽

pp. 3119-3120 ◽

Cited By ~ 2

Author(s):

Özgür Kişi

Keyword(s):

Neural Networks ◽

Hydrological Processes ◽

Pan Evaporation ◽

Radial Basis ◽

Daily Pan Evaporation

Daily pan evaporation modelling using multi-layer perceptrons and radial basis neural networks

Hydrological Processes ◽

10.1002/hyp.7126 ◽

2009 ◽

Vol 23 (2) ◽

pp. 213-223 ◽

Cited By ~ 55

Author(s):

Özgür Kişi

Keyword(s):

Neural Networks ◽

Pan Evaporation ◽

Radial Basis ◽

Daily Pan Evaporation

Modelling of desiccant wheels using radial basis neural networks

Materials Today Proceedings ◽

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Author(s):

Pragati Priyadarshini Sahu ◽

Abhilas Swain ◽

Radha Kanta Sarangi

Keyword(s):

Neural Networks ◽

Optimizing hydrogen storage performance in ribbed annulus metal hydride reactors with lattice Boltzmann method and radial basis neural networks

10.26226/morressier.612f6739bc981037241009b7 ◽

2021 ◽

Author(s):

Joshua Brinkerhoff ◽

Chun Sheng Wang

Keyword(s):

Neural Networks ◽

Hydrogen Storage ◽

Lattice Boltzmann Method ◽

Metal Hydride ◽

Lattice Boltzmann ◽

Storage Performance ◽

Radial Basis ◽

Hydrogen Storage Performance ◽

Boltzmann Method

Characterisation and Modeling of Organic Solar Cells by Using Radial Basis Neural Networks

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-319-39378-0_9 ◽

2016 ◽

pp. 91-103 ◽

Cited By ~ 5

Author(s):

Dor Gotleyb ◽

Grazia Lo Sciuto ◽

Christian Napoli ◽

Rafi Shikler ◽

Emiliano Tramontana ◽

...

Keyword(s):

Neural Networks ◽

Solar Cells ◽

Organic Solar Cells ◽

Intelligent Learning Controllers for Nonlinear Systems using Radial Basis Neural Networks

Control and Intelligent Systems ◽

10.2316/journal.201.2004.2.201-1318 ◽

2004 ◽

Vol 32 (2) ◽

Author(s):

M. Arif ◽

T. Ishihara ◽

H. Inooka

Keyword(s):

Neural Networks ◽

Nonlinear Systems ◽

2019 29th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS) ◽

Stochastic Radial Basis Neural Networks

10.1109/patmos.2019.8862129 ◽

2019 ◽

Author(s):

Fabio Galan-Prado ◽

Alejandro Moran ◽

Joan Font ◽

Miquel Roca ◽

Josep L. Rossello

Keyword(s):

Neural Networks ◽

Hybrid method for estimating wind loads on ships based on elliptic Fourier analysis and radial basis neural networks

Ocean Engineering ◽

10.1016/j.oceaneng.2016.06.031 ◽

2016 ◽

Vol 122 ◽

pp. 227-240 ◽

Cited By ~ 5

Author(s):

Marko Valčić ◽

Jasna Prpić-Oršić

Keyword(s):

Neural Networks ◽

Fourier Analysis ◽

Hybrid Method ◽

Wind Loads ◽

Elliptic Fourier Analysis ◽

Genetic algorithm for identifying self-generating radial basis neural networks

4th International Conference on Artificial Neural Networks ◽

10.1049/cp:19950530 ◽

1995 ◽

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Author(s):

Y.M. Enab

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Improved contourlet-based steganalysis using binary particle swarm optimization and radial basis neural networks

Neural Computing and Applications ◽

10.1007/s00521-011-0729-9 ◽

2011 ◽

Vol 21 (7) ◽

pp. 1717-1728 ◽

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Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Binary Particle Swarm Optimization ◽

Swarm Optimization ◽