Radial basis function neural
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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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), Spiking ...
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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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A NOVEL DIFFERENTIAL PROTECTION FOR POWER TRANSFORMER USING RADIAL BASIS FUNCTION NEURAL NETWORK
... This work presents a new approach in differential protection for power transformer vastly improved performance over conventional techniques. Shape identification technique and independent of the harmonics contained in ...
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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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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 data, ...
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Research on Intention Recognition Method Based on Radial Basis Function Neural Network
... (radial basis function neural network model) was adopted in this paper to recognize the collaborator’s intention during human-robot ...of neural network, the human-robot collaboration ...
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Comparison of multilayer and radial basis function neural networks for text dependent speaker recognition
... artificial neural networks to both text-independent and text-dependent speaker recognition ...of radial basis function (RBF) networks ...
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Denosing CT/MRI Images Restoration using Radial Basis Function Neural Network
... and the PWLS (Penalized Weighted Least Squares). We propose a regulated machine learning approach for boosting existing sign and image recuperation techniques. It depends on a nearby nonlinear combination of a few image ...
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Novel Radial Basis Function Neural Networks based on Probabilistic Evolutionary and Gaussian Mixture Model for Satellites Optimum Selection
... In this study, two novel learning algorithms have been applied on Radial Ba- sis Function Neural Network (RBFNN) to approximate the functions with high non-linear order. The Probabilistic ...
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Learning enhancement of radial basis function neural network with harmony search algorithm
... of radial bases function as an alternative of ANN was first perceived late 80’s, although their related counterpart – pattern recognition technique – existed long ago (Bors, ...RBF Neural Network was ...
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Real-time face recognition system using radial basis function neural networks
... Low Level Analysis ,..-- Feature-Based r-- Feature Analysis Approach .._ Active Shape Model Face Detection 1-- Linear Subspace r- Image-Based '-- Method Neural Network Approach - Statist[r] ...
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An Adaptive Controller using Radial Basis Function Neural Network with Reinforcement Learning
... PID controllers are one of the most practical, reliable and typical controllers used for controlling variety of systems in many engineering fields. The controllers’ adaptive property is of great importance that is ...
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Radial basis function neural network for software engineering measures A survey
... of neural network. Normally, neural network is the highest communicating network of difficult and huge number of processing components which are called as ...neurons. Neural network architecture ...
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Design of radial basis function neural network controller for BLDC motor control system
... on Radial Basis Function(RBF) has been proposed in this ...of neural network was revised in time according to the speed of motor and phase current, the duty cycle of pulse width modulation ...
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Long-Term Peak Demand Forecasting by Using Radial Basis Function Neural Networks
... using neural network 3) Selections of proper economy factors 4) Design OF Radial Basis Function Networks for long-term load demand forecasting 5) RBFNS simulations and results 6) Comparisons ...
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EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE TASK CLUSTERING
... 3.1 Radial basis function neural network model The radial basis function neural network (RBFNN)[8] has a feed forward architecture with an input layer, a hidden ...
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A Radial Basis Function Approach to Retrieve Soil Moisture and Crop Variables from X-Band Scatterometer Observations
... Radial basis function neural networks (RBFNN) have proved to be very good function approximators as well as classifiers for a wide variety of remotely sensed ...multilayer neural ...
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Detecting Network Intrusion Using BPA & RBF Neural Network Algorithms
... Propagation Neural Network (BPA) and Radial Basis Function Neural ...Algorithm Neural Network along with Radial Basis Function Neural Networks are ...
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Adaptive Inverse Control of Proton Exchange Membrane Fuel Cell Using RBF Neural Network
... Proton exchange membrane fuel cells (PEMFCs) present remarkable control demands, due to the inherent nonlinear characteristics and time-varying parameters. This paper deals with the application of adaptive inverse ...
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