Basic Radial Basis Function Neural Network Model
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 ...the basic ...
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Maximum 2-satisfiability in radial basis function neural network
... rangkaian neural fungsi asas jejari ...menilai model data ujian yang dicadangkan menggunakan nisbah klausa yang dipenuhi (RSC), punca min ralat kuasa dua (RMSE) dan masa ...
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Predicting crash frequency using an optimised radial basis function neural network model
... The results of the model comparison are shown in Table 2, while the mean and 95% confidence interval of the over-dispersion parameter in the NB model are 0.219 and [0.188,0.255] respectively, suggesting the ...
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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 ...
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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 ...Normally, neural network is the highest communicating network of difficult and huge number of processing components which are ...
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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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Identification of Nonlinear Systems Using Radial Basis Function Neural Network
... a neural network was originally conceived as an attempt to model the biophysiology of the ...artificial neural network (ANN) offers a potential solution for problems which require ...
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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
... 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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Application of a radial basis function neural network for diagnosis of diabetes mellitus
... regression, neural networks take slightly higher ...the model was 22 and the best MLP was obtained at low- est root mean square of ...MLP model was ...RBF neural network performed best ...
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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) ...RBFNN model illustrates the proposed best ...
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General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model
... On the other hand, three different GT2 RBFNN structures based on direct-defuzzification methods are also presented, i.e. a GT2 RBFNN with a a) Nie-Tan approach, a b) Wu- Mendel Uncertainty bounds method and a c) ...
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Radial Basis Function Neural Networks : A Review
... Radial Basis Function neural networks (RBFNNs) represent an attractive alternative to other neural network ...between function approximation, regularization, noisy ...
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A Method for Fast Establishing Tropospheric Refractivity Profile Model Based on Radial Basis Function Neural Network
... 1. INTRODUCTION Radar is widely used in the field of meteorological forecast, resource detection, environmental monitoring, and scientific research on celestial bodies, atmospheric physics, and ionospheric structures. It ...
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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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Offline handwritten signature verification using radial basis function neural network
... This study investigates the effectiveness of Radial Basis Function Neural Networks (RBFNNs) for Of- fline Handwritten Signature Verification (OHSV). A signature database is collected using ...
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An Optimal Radial Basis Function (RBF) Neural Network for Hyper-surface Reconstruction
... Optimal Radial Basis Function (RBF) Neural Network for Hyper-Surface Reconstruction ...layer neural network with one neuron for each distinct ...regularization ...
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Learning enhancement of radial basis function neural network with harmony search algorithm
... that radial basis functions are entrenched in two feed-forward neural network ...Gaussian function, is applied to each of ...this network are indeed a composition of non- linear ...
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ELECTRICITY CONSUMPTION PREDICTION SYSTEM USING A RADIAL BASIS FUNCTION NEURAL NETWORK
... proposed model with equiva- lent artificial intelligence approaches such as self-organizing map, liquid state machine, support vector machine, case-base reason- ing, neuro-fuzzy predictor ...
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