Radial Basis Function Network (RBF)
Face Recognition by Radial Basis Function Network (RBFN)
... on Radial basis function network has been used in this ...neural network for classification of face images as a classifier in the context of face recognition ...
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Application of Radial Basis Function Network for Content Based Image Retrieval
... the Radial Basis Function Network (RBFN) are updated according to the feature vectors of the labeled ...Gaussian function will be ...
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Design of Hanman Entropy Network from Radial Basis Function Network
... the radial basis function network ...neural network named as Hanman Entropy Network (HEN) is developed from RBFN based on the Information set theory that deals with the ...
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Nonlinear Image Restoration Using a Radial Basis Function Network
... generalized radial basis function network (GRBFN) and a regu- larization ...blurring function itself, the existence of the in- verse of the blurring process does not need to be ...
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Biometric Signature Processing & Recognition Using Radial Basis Function Network
... using Radial Basis Function Network. The network is trained with sample images in ...to network. The network successfully identifies the original image and gives correct ...
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Classification of breast cancer microarray data using radial basis function network
... CLASSIFICATION OF BREAST CANCER MICROARRAY DATA USING RADIAL BASIS FUNCTION NETWORK.. UMI HANIM BINTI MAZLAN.[r] ...
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Symmetric Radial Basis Function Network Equaliser
... By explicitly exploiting the inherently symmetric struc- ture of the optimal Bayesian equaliser, the proposed sym- metric RBF equaliser can be determined from the re- ceived noisy training data. Both a block-data based ...
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Symmetric Radial Basis Function Network Equaliser
... ✰ Which exploits prior knowledge on symmetry property of optimal solution, leading to enhanced performance. ❏ Adaptive algorithms for training this symmetric RBF equaliser have been revi[r] ...
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Radial Basis Function Network Assisted Wide Band Beamforming
... ABSTRACT In this paper we present a novel Radial Basis Function Net- work (RBFN) assisted wide-band beamformer which is based on the derivation of the Bayesian detector. The proposed re- ceiver ...
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Feature Selection and Radial Basis Function Network for Parkinson Disease Classification
... Recent studies employed hybrid methods for Parkinson’s Disease, the research conducted by [19] proposed a new hybrid intelligent method to predict of PD progression by using adaptive neuro-fuzzy inference system (ANFIS) ...
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Learning enhancement of radial basis function network with particle swarm optimization
... simpler network structures and faster learning algorithms, RBF Networks have been widely applied in many science and engineering ...RBF Network is three layers feedback network, where each hidden ...
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Orthogonal forward selection for constructing the radial basis function network with tunable nodes
... Abstract. An orthogonal forward selection (OFS) algorithm based on the leave- one-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tunable nodes. This ...
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Color image demosaicing using sparse based radial basis function network
... RBF network Abstract Images contain three primary colors at each pixel, but single sensor digital cameras cap- ture only one of the primary ...RBF network for color image ...
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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 ...
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Identification of Nonlinear Systems Using Radial Basis Function Neural Network
... The Radial Basis Function Network consists of three important parameters, centers, width and ...the network requires some strategy for selecting the adequate set of centers, hence ...
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Radial basis function network design for classification using data clustering
... Algoritam za svaki broj skrivenih neurona vrši treniranje mreže, nakon čega se vrši podjela skupa podataka na deset podjednakih skupova ili rezova (engl. folds) te se deset puta vr[r] ...
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Multilingual Speech Recognition Using Radial Basis Function (RBF) Neural Network
... neural network and it is widely used for the function approximation and pattern ...Activation function to calculate the output response of the ...the Radial Basis Function ...
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Classification of breast cancer microarray data using radial basis function network
... Results on breast cancer dataset using Relief-F Results on breast cancer using Information Gain Results on breast cancer using χ 2 -statistic Results on classification using different[r] ...
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Learning Methods of Radial Basis Function Neural Network
... ABSTRACT Radial Basis Function Neural Network （ RBF ） is widely used now; it can solve the following problems: the small sample, nonlinear, dimension and local ...
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A NEW APPROACH OF STEGANOGRAPHY USING RADIAL BASIS FUNCTION NEURAL NETWORK
... Department of Mechanical Engineering ,VSSUT, Burla, India 2 1234 [email protected],[email protected],[email protected],[email protected] Abstract - Steganographic tools and techniques are ...
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