Radial Basis Function Neural Network (RBFNN)
Fast Voltage and Power Flow Contingency Ranking Using Enhanced Radial Basis Function Neural Network
... enhanced radial basis function neural network (RBFNN) approach for on-line ranking of the contingencies expected to cause steady state bus voltage and power flow ...
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Adaptive sliding mode control with radial basis function neural network for time dependent disturbances and uncertainties
... A radial basis function neural network (RBFNN) based adaptive sliding mode controller is presented in this paper to cater for a 3-DOF robot manipulator with time-dependent uncertainties ...
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Mammograms Classification Using Gray-level Co-occurrence Matrix and Radial Basis Function Neural Network
... using Radial Basis Function Neural Network (RBFNN) for mammograms classification based on Gray-level Co-occurrence Matrix (GLCM) texture based ...Back-propagation Neural ...
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The Face Recognition System By Using The Radial Basis Function Neural Network (RBFNN)
... In order to keep the security of the recognition system, the development of face recognition system is being researched so that it keeps track with the other advanced technologies. Recently, the research on the face ...
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Radial basis function neural network learning with modified backpropagation algorithm
... Artificial Neural Network (ANN) was developed as a parallel distributed system that is inspired by the biological learning process of the human ...Backpropagation Neural Network (BPNN), ...
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Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network
... Specifically, this paper deals with the construction of Radial Basis Function Neural Network (RBFNN). Although this ANN model may have their weights determined according to the training ...
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... artificial neural networks (ANNs), the radial basis function neural network (RBFNN) has a more compact structure and consequently, it requires less training time compared with ...
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General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model
... In this paper, a GT2 RBFNN that employs a direct- defuzzification algorithm as an output layer is called Simpli- fied General Type-2 Radial Basis Function Neural Network (SGT2 RBFNN). ...
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Prediction of Daily Network Traffic based on Radial Basis Function Neural Network
... of radial basis function neural network which is based on the function approximation theory or supervised and unsupervised manner were used ...feed-forward neural ...
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Direction of Arrival and State of Polarization Estimation Using Radial Basis Function Neural Network (Rbfnn)
... suitable neural network (NN) trained with input output pairs. The network capable of estimating or predicting outputs not included in the learning through ...elements. Neural networks based ...
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Maximum 2-satisfiability in radial basis function neural network
... Maximum k-Satisfiability (MAX-kSAT) is the logic to determine the maximum number of satisfied clauses. Correctly, this logic plays a prominent role in numerous applications as a combinatorial optimization logic. MAX2SAT ...
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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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A Method for Fast Establishing Tropospheric Refractivity Profile Model Based on Radial Basis Function Neural Network
... artificial neural network (ANN) is developed to estimate refractivity in the tropospheric region ...transfer function is used as the activation function between the hidden and output ...a ...
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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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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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Forecasting Value of Pollutant Index in Surabaya River Using Fuzzy Radial Basis Function Neural Network
... of neural network models Fuzzy Radial Basis Function in predicting the value of the pollution index in ...on Radial Basis Function neural network ...
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Learning Methods of Radial Basis Function Neural Network
... 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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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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Hybrid Approach to Optimize the Centers of Radial Basis Function Neural Network Using Particle Swarm Optimization
... resolution problems of optimization, and it has become popular depends to its speed of convergence and the simplicity of its implementation. There are several studies that combined RBFN and PSO. The authors in [18] ...
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Estimation of glomerular filtration rate by a radial basis function neural network in patients with type-2 diabetes mellitus
... GFR measured by the 99m Tc-DTPA renal dynamic im- aging method (modified Gate’s method) was used as the standard GFR (sGFR) [21,22], and was calculated as described by Li et al. [23]. The gamma camera uptake method with ...
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