Results 11 to 20 of about 8,698,686 (246)
Identification of Nonlinear Systems Using Radial Basis Function Neural Network [PDF]
, 2014 This paper uses the radial basis function neural network (RBFNN) for system identification of nonlinear systems. Five nonlinear systems are used to examine the activity of RBFNN in system modeling of nonlinear systems; the five nonlinear systems are ...
Pislaru, Crinela, Shebani, Amer
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RBFNN Design Based on Modified Nearest Neighbor Clustering Algorithm for Path Tracking Control
Sensors, 2021 Radial basis function neural networks are a widely used type of artificial neural network. The number and centers of basis functions directly affect the accuracy and speed of radial basis function neural networks.
Dongxi Zheng, Wonsuk Jung, Sunghoon Kim
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Revised model for radial Basis Function [PDF]
المجلة العراقية للعلوم الاحصائية, 2008 In this paper , a revised model for radial basis function has been done with application of sunspot time series. It has been arrived at a revised model for nonlinear time series.
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Mathematics, 2020 In this article, a novel radial−based meshfree approach for solving nonhomogeneous partial differential equations is proposed. Stemming from the radial basis function collocation method, the novel meshfree approach is formulated by incorporating ...
Cheng-Yu Ku, Jing-En Xiao, Chih-Yu Liu
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Orthogonal least squares algorithm for training multi-output radial basis function networks [PDF]
, 1991 A constructive learning algorithm for multioutput radial basis function networks is presented. Unlike most network learning algorithms, which require a fixed network structure, this algorithm automatically determines an adequate radial basis function ...
S. Chen +8 more
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CLASSIFICATION SUPPORT VECTOR MACHINE IN BREAST CANCER PATIENTS
Barekeng, 2022 Support vector machine is one of the supervised learning methods in machine learning that is used in classification. The purpose of this study is to measure the accuracy of classification by using 3 hyperplane functions in SVM, namely linear, sigmoid ...
Siti Hadijah Hasanah
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Sub-region Alopex optimization method with RSM for design of permanent magnet machines
CES Transactions on Electrical Machines and Systems, 2018 Based on an Alopex optimization algorithm and a response surface model (RSM), a hybrid sub-region methodology is presented to solve the optimal design problems of permanent magnet (PM) machines.
Xiaoyu Liu, W. N. Fu
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Grey-box radial basis function modelling
, 2011 A fundamental principle in data modelling is to incorporate available a priori information regarding the underlying data generating mechanism into the modelling process.
Xia Hong +6 more
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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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Journal of Taibah University for Science, 2018 Realistic leaf models are significant for numerous applications in the plant sciences, for instance, modelling pesticide droplet movement on the leaf surface.
Moa’ath N. Oqielat
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