Radial Basis Function (rbf) Neural Network
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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Identification of Nonlinear Systems Using Radial Basis Function Neural Network
... the radial basis function neural network ...the network are compared and the resulting error is used to update the network parameters the ...
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Face Recognition Using Fixed Spread Radial Basis Function Neural Network
... spread radial basis function neural network for security ...image. Radial Basis Function Neural Network is use for face recognition and Support Vector ...
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ELECTRICITY CONSUMPTION PREDICTION SYSTEM USING A RADIAL BASIS FUNCTION NEURAL NETWORK
... of radial basis function neural network to predict the coun- try’s electricity consumption using the historical data sourced from Central Bank of Nigeria (CBN) an- nual statistical ...
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A Radial Basis Function Neural Network with Adaptive Structure via Particle Swarm Optimization
... Radial Basis Function neural network (RBFNN) is a combination of learning vector quantizer LVQ-I and gradient ...nonlinear function approximation, adaptive control, speech ...
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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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Prediction of Daily Network Traffic based on Radial Basis Function Neural Network
... daily network traffic using artificial neural networks (ANN), namely radial basis function neural network (RBFNN) ...
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Time Series Prediction Using Radial Basis Function Neural Network
... daily network traffic using artificial neural networks (ANN), namely radial basis function neural network (RBFNN) ...
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Application of Artificial Fish Swarm Algorithm in Radial Basis Function Neural Network
... Neural network is one of the branches with the most active research, development and application in computational intelligence and machine ...study. Radial basis function neural ...
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Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network
... E-mail: [email protected], [email protected], [email protected], [email protected], [email protected], [email protected] Abstract - This paper presents some of the procedures adopted in the construction of a ...
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The Face Recognition System By Using The Radial Basis Function Neural Network (RBFNN)
... iaitu Radial Basis Function Neural Network ...menggunakan Radial Basis Function Neural Network ...
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Research on Intention Recognition Method Based on Radial Basis Function Neural Network
... A robot should be endowed with certain collaboration experience to recognize human’s behavioral intention. This paper provides a method based on machine learning to recognize the collaborator’s intention. A radial ...
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Radial Basis Function Neural Network for Electrochemical Impedance Prediction at Presence of Corrosion Inhibitor
... a radial basis function neural network (RBFNN) prediction and modeling of electrochemical imped- ance under various conditions such as different inhibitor concentrations, different ...
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Color image retrieval using statistical model and radial basis function neural network
... Abstract This paper proposes a new and effective framework for color image retrieval based on Full Range Autoregressive Model (FRAR). Bayesian approach (BA) is used to estimate the param- eters of the FRAR model. The ...
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A NOVEL DIFFERENTIAL PROTECTION FOR POWER TRANSFORMER USING RADIAL BASIS FUNCTION NEURAL NETWORK
... the Radial Basis Function Neural Network (RBFNN) as a classifier and address the challenging task of detecting magnetizing inrush from internal ...
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Forecasting Muar river water quality using radial basis function neural network
... The Radial Basis Function Neural Network, RBFNN has proved that it is a potential technique than can be used to forecast complex and nonlinear system of ...
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General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model
... Type-2 Radial Basis Function Neural Network (GT2 RBFNN) that is functionally equivalent to a GT2 FLS based on the α − plane representation, in which the main inference engine can be ...
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Application of a radial basis function neural network for diagnosis of diabetes mellitus
... regression, neural networks take slightly higher ...RBF neural network performed best at eight centres and maximum number of centres tried was ...RBF neural network model was ...RBF ...
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Radial basis function neural network for software engineering measures A survey
... Logic, Neural Network, and Genetic Algorithm ...(Radial Basis Function) and SVM has some secure relationship among them where they both are identified in many applications like in face ...
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Radial basis function neural network control for parallel spatial robot
... RBF neural network control law to compensate uncertainties in the parallel robot ...RBF neural network control method, the controller for spatial robot manipulators based on inverse dynamics ...
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