Radial Basis Function Network parameters for GA
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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Face Recognition by Radial Basis Function Network (RBFN)
... using Radial Basis Function Network (RBFN) is an attractive solution for the researchers who are working on the field of machine recognition, pattern recognition and computer ...and ...
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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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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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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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Maximum 2-satisfiability in radial basis function neural network
... However, RBFNN-MAX2SATFT can minimize iterations in the completion of learning process due to its optimization operator (Mansor et al. 2020). 6. Conclusion In this study an overview of the model Radial ...
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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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Prediction of Daily Network Traffic based on Radial Basis Function Neural Network
... daily network traffic prediction is also a process of analyzing and determining the quota of bandwidth in a network in the future, in which a technical analysis approach usage data ...
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Radial basis function neural network for software engineering measures A survey
... Ward Network is the initial architecture of neural ...neural network is the highest communicating network of difficult and huge number of processing components which are called as ...Neural ...
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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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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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Identification of Nonlinear Systems Using Radial Basis Function Neural Network
... neural network was originally conceived as an attempt to model the biophysiology of the ...neural network (ANN) offers a potential solution for problems which require complex data analysis and promise to ...
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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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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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Radial basis function neural network learning with modified backpropagation algorithm
... Asas Radial (RBFNN) merupakan satu kelas rangkaian saraf buatan (ANN) telah banyak digunakan dalam bidang sains dan kejuruteraan berkaitan masalah pengelasan dengan algoritma rambatan balik ...
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Radial basis function neural network control for parallel spatial robot
... neural network control law to compensate uncertainties in the parallel robot ...neural network control method, the controller for spatial robot manipulators based on inverse dynamics was ...neural ...
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Application of a radial basis function neural network for diagnosis of diabetes mellitus
... neural network performed best at eight centres and maximum number of centres tried was ...neural network model was ...RBF network has a better perform- ance than other ...
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Time Series Prediction Using Radial Basis Function Neural Network
... This paper presents an approach for predicting daily network traffic using artificial neural networks (ANN), namely radial basis function neural network (RBFNN) method. The data is ...
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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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