[PDF] Top 20 Nonlinear Image Restoration Using a Radial Basis Function Network
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Nonlinear Image Restoration Using a Radial Basis Function Network
... the radial basis function network (RBFN), has received considerable attention ...and image processing problems due to its excellent approximation capability [3, ...smooth ... See full document
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Face Recognition by Radial Basis Function Network (RBFN)
... presented. Image processing algorithms based on Radial basis function network has been used in this ...neural network for classification of face images as a classifier in the ... See full document
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Image Segmentation using Classification of Radial Basis Function of Neural Network in Brain Tumor Detection
... obtained using Gray Level Co-occurrence Matrix (GLCM), which is also known as Gray Level Spatial Dependence Matrix (GLSDM)? GLCM, introduced by Heraldic is a statistical approach that can well describe the ... See full document
5
Symmetric Radial Basis Function Network Equaliser
... The paper investigates nonlinear equalisation using a novel symmetric radial basis function (RBF) network. By explicitly exploiting the inherently symmetric struc- ture of the ... See full document
5
Radial basis function neural network learning with modified backpropagation algorithm
... layers. Radial function is applied as activation function for all the neurons of the hidden ...place using unsupervised learning and nonlinear transformation while on the other hand at ... See full document
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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] ... See full document
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Classification of breast cancer microarray data using radial basis function network
... Ng, E. Y. K., Peh, Y. C., Fok, S. C., Ng, F. C., and Sim, L. S. J. (2002). Early Diagnosis of Breast Cancer Using Artificial Neural Network with Thermal Images. Proceedings of Kuala Lumpur International ... See full document
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Writer Identification and Recognition Using Radial Basis Function
... system using over 500 text lines from 20 writers and have in ...of Radial Basis Function (RBF) is found to be better compared to that of Back Propagation Network ... See full document
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Active Disturbance Rejection Control for a Class of Non affine Nonlinear Systems via Neural Networks
... on radial basis function (RBF) neural network is proposed for a class of non-affine nonlinear systems in this ...neural network is used to approximate the reference ...the ... See full document
5
Forecasting Muar river water quality using radial basis function neural network
... and nonlinear systems, like rivers, is difficult due to the presence of many variables and ...modeled using mathematical relationships; however, most of the times these models require a lot of information ... See full document
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The Face Recognition System By Using The Radial Basis Function Neural Network (RBFNN)
... There are two different ways to resolve a person's identity which is either verification or identification mode, depends on the application context. For example, this project context requires a positive recognition for ... See full document
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A NOVEL DIFFERENTIAL PROTECTION FOR POWER TRANSFORMER USING RADIAL BASIS FUNCTION NEURAL NETWORK
... Radial Basis Function Network (RBFN) is especial type of feed forward neural network with an input layer used as sensing unit containing n neurons through which input vector x e Rn is ... See full document
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Design of Hanman Entropy Network from Radial Basis Function Network
... are retained and these values become the input to the next iteration. The flowchart of JAYA algorithm is shown in Figure 2. Unlike TLBO algorithm that has two phases (i.e. teacher and learner), JAYA algorithm has only ... See full document
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Denosing CT/MRI Images Restoration using Radial Basis Function Neural Network
... a nonlinear direct technique in which it does spatial averaging without smoothing edges and it is a suitable picture denoising ...rotted using a Wavelet channel the second duty is that we acquaint a ... See full document
6
Dynamic Threshold Selection for Sequential Learning in Radial Basis Function Networks
... for nonlinear system identification have evolved over the years to provide better and faster learning capabilities with increasing automation of ...the nonlinear system to be ...case basis will be ... See full document
10
Radial basis function neural network for software engineering measures A survey
... of radial basis Function network forms with the three layers, those are input layer, hidden layer and output ...the network. Next, hidden layer is formed with the Gaussian ... See full document
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Application of Radial Basis Function Network for Content Based Image Retrieval
... the Image Retrieval ...the Image that is sorted out from the Objective method and this feedback (Relevance Feedback(RF)) will be considered for further refinement of the final Image so as to ... See full document
5
Function Approximation Using Robust Radial Basis Function Networks
... Resistant training in radial basis function (RBF) networks is the topic of this paper. In this paper, one modification of Gauss-Newton training algorithm based on the theory of robust regression for ... See full document
9
Radial Basis Function Network Assisted Wide Band Beamforming
... 5. CONCLUSIONS AND CURRENT RESEARCH A novel Bayesian wide-band beamformer has been investigated both with and without decision feedback, which has been imple- mented using a RBFN. The beamformer’s performance was ... See full document
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Approximating the Bayesian decision boundary for channel equalisation using subset radial basis function network
... Approximating the Bayesian decision boundary for channel equalisation using subset Radial Basis Function network E.S CHNG1, B.. for Artificial Brain.[r] ... See full document
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