Results 11 to 20 of about 35,631 (308)
Decision Feedback Equalizers Using Radial Basis Function Networks
Journal of King Saud University: Engineering Sciences, 2000 Decision feedback equalizers (DFE)s are used extensively in practical communication systems. They are more powerful than linear equalizers especially for severe inter-symbol interference (ISI) channels with deep frequency null.
S.A. Zummo, A. Balghonaim, M. Mohandes
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Lazy training of radial basis neural networks [PDF]
, 2006 Proceeding of: 16th International Conference on Artificial Neural Networks, ICANN 2006. Athens, Greece, September 10-14, 2006Usually, training data are not evenly distributed in the input space.
Galván, Inés M. +5 more
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Adaptive PID Controller for Active Suspension Using Radial Basis Function Neural Networks
Actuators, 2023 Suspension systems are critical parts of modern cars. In this study, a radial basis function neural networks-based adaptive PID optimal method is presented for vehicle suspension systems.
Weipeng Zhao, Liang Gu
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Radial Basis Function Networks [PDF]
, 2016 Radial Basis Function networks, commonly known as RBF, can also be employed in almost every kind of problems solved by MLPs, including those involving curve fitting and pattern classification.
Ivan Nunes da Silva +4 more
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Radial basis function neural networks: a topical state-of-the-art survey
Open Computer Science, 2016 Radial basis function networks (RBFNs) have gained widespread appeal amongst researchers and have shown good performance in a variety of application domains. They have potential for hybridization and demonstrate some interesting emergent behaviors.
Dash Ch. Sanjeev Kumar +3 more
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Neural Networks For Electrohydrodynamic Effect Modelling [PDF]
Computer Science, 2004 This paper presents currently achieved results concerning methods of electrohydrodynamiceffect used in geophysics simulated with feedforward networks trained with backpropagation algorithm, radial basis function networks and generalized regression ...
Wiesław Wajs, Jolanta Gancarz
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Deferring the learning for better generalization in radial basis neural networks [PDF]
, 2001 Proceeding of: International Conference Artificial Neural Networks — ICANN 2001. Vienna, Austria, August 21–25, 2001The level of generalization of neural networks is heavily dependent on the quality of the training data.
Galván, Inés M. +5 more
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Radial Basis Function Networks for Conversion of Sound Spectra
EURASIP Journal on Advances in Signal Processing, 2001 In many advanced signal processing tasks, such as pitch shifting, voice conversion or sound synthesis, accurate spectral processing is required. Here, the use of Radial Basis Function Networks (RBFN) is proposed for the modeling of the spectral changes ...
Carlo Drioli
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Lazy learning in radial basis neural networks: A way of achieving more accurate models [PDF]
, 2004 Radial Basis Neural Networks have been successfully used in a large number of applications having in its rapid convergence time one of its most important advantages.
Galván, Inés M. +2 more
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Organisms modeling: The question of radial basis function networks
ITM Web of Conferences, 2014 There exists usually a gap between bio-inspired computational techniques and what biologists can do with these techniques in their current researches. Although biology is the root of system-theory and artifical neural networks, computer scientists are ...
Muzy Alexandre +2 more
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