Radial Basis Function Networks (RBFN)
Radial Basis Function Networks for Conversion of Sound Spectra
... of Radial Basis Function Networks (RBFN) is proposed for the modeling of the spectral changes (or conversions) related to the control of important sound parameters, such as pitch or ...
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Computation of laminated composite plates using integrated radial basis function networks
... on radial-basis-function networks (RBFNs), for the static analysis of moderately-thick lam- inated composite plates using the first-order shear defor- mation ...plate, ...
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Computation of laminated composite plates using integrated radial basis function networks
... on radial-basis-function networks (RBFNs), for the static analysis of moderately-thick laminated composite plates us- ing the first-order shear deformation ...
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Snow cover thickness estimation using radial basis function networks
... MLP networks are based on nonlinear sigmoid functions which give significant non-zero response in a wide region of the input ...MLP networks have become increasingly apparent and the results of comparative ...
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Forecasting the geomagnetic activity of the Dst Index using radial basis function networks
... Radial basis function networks possess several attractive ...multiscale radial basis function (MSRBF) network has been introduced to model and forecast the Dst ...RBF ...
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Computing non-Newtonian fluid flow with radial basis function networks
... Each dependent variable and its derivatives in the governing equations (1)-(7) can be approximated by RBFNs using either (12)-(14) for the DRBFN approach or (26)-(29) for the IRBFN approach. The closed-form ...
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Approximation of function and its derivatives using radial basis function networks
... the function and its deriva- ...of networks with possibly dierent structures and values for training parameters and the \best" net- work (based on some optimality criterion) is ...trained ...
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An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks
... for RBFN called Autonomous Learning algorithm for Resource Allocating Network (AL-RAN) ...of radial basis func- tions (RBFs), and 4) determination of RBF centers and ...first function enables ...
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Function Approximation Using Robust Radial Basis Function Networks
... in radial basis function (RBF) networks is the topic of this ...of function approximation, system identification and control is ...
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Dynamic Threshold Selection for Sequential Learning in Radial Basis Function Networks
... RBF networks for nonlinear system identification have evolved over the years to provide better and faster learning capabilities with increasing automation of ...RBF networks includes automatic growing and ...
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A new formula to determine the optimal dataset size for training neural networks
... neural networks is its ability to generalize and approximate a sample data without the need of specify equation and coefficients, particularly when an unknown model describing an unknown complex relation and ...
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Computation of transient viscous flows using indirect radial basis function networks
... The accuracy of the method is first examined through the solution of the Stokes flow. The gov- erning equation for this creeping flow can be ob- tained from (13) by simply discarding the non- linear term and setting Re ...
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Gradient radial basis function networks for nonlinear and nonstationary time series prediction
... Simulation results using the classical RBF and GRBF networks to predict the Mackey-Glass chaotic time series with and without timevarying meadtrend are given in Section I11 to demonstrat[r] ...
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A Computerized Neural Network System to Filter Unwanted Messages from OSN User Walls
... on Radial Basis Function Networks (RBFN) with Self Organizing Neural Network (SOINN) for their proven capabilities in acting as soft classifiers, in managing noisy data and ...
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Regularized orthogonal least squares algorithm for constructing radial basis function networks
... The proposed algorithm combines the advantages of both the orthogonal forward regression and regularization methods to provide an efficient and powerful procedure for constructing parsim[r] ...
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Filtered Wall: An Automated System to Filter Unwanted Messages from OSN User Walls
... on Radial Basis Function Networks (RBFN) with Self Organizing Neural Network (SOINN) for their proven capabilities in acting as soft classifiers, in managing noisy data and ...
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Rainfall prediction using Machine Learning Techniques
... Neural Networks, and Fuzzy Logic for the use of rainfall ...Algorithm(BPA), Radial Basis Function Network (RBFN), SOM (Self Organization Map) and SVM (Support Vector Machine) to predict ...
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A numerical technique based on integrated RBFs for the system evolution in molecular dynamics
... Radial basis function networks (RBFNs) have emerged as a powerful numerical tool for the solution of differential equations (e.g. Fasshauer, 2007). These approximators are able to work well ...
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Face Recognition by Radial Basis Function Network (RBFN)
... [11] Tiantian Xie, Hao Yu and Bogdan Wilamowski, “Comparison between Traditional Neural Networks and Radial Basis Function Networks”Industrial Electronics(ISIE), 2011 IEEE International ...
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Vol 9, No 4 (2019)
... Recognition Networks, Feed Forward Back Propagation Networks, Feed Forward Networks with no feedback, and Radial Basis Function Network were used to predict the breast ...
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