radial basis functions neural networks
Binary Image Segmentation Using Classification Methods: Support Vector Machines, Artificial Neural Networks and Kth Nearest Neighbours
... Intelligent networks such as Support Vector Machines and Neural Networks have complex structures, and their efficiency depends on the network ...Machines, Neural Networks and K th ...
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Advanced approach to numerical forecasting using artificial neural networks
... cial neural networks can be used for forecasting and they are able to work with extremely big data sets in reasonable ...uses Radial Basis Functions neural net- work in ...
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Forecasting foreign exchange rates with adaptive neural networks using radial basis functions and particle swarm optimization
... exchange rates with major currencies such as the Japanese yen, British pound, and US dollar, there is nonlinear predictability in terms of economic criteria with respect to several smaller currencies (such as the ...
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Application of Artificial Neural Network and Adaptive Neural based Fuzzy Inference System Techniques in Estimating of Virtual Water
... (MLP), Radial Basis Functions (RBF), and Generalized Regression Neural Networks (GRNN) as well as ANFIS were examined in estimation of VW using measured data of the yield and Crop Water ...
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Radial Basis Function Neural Networks : A Review
... Classification and prediction are two methods of data analysis that can be used to extract models describing classes or to predict future trends of underlying data. Such analysis can help provide us with a better ...
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Neural networks and support vector machines based bio-activity classification
... layer neural network trained with back propagation and some other learning methods were tested for the prediction of drug- non drug compounds from a pool of around 10,000 compounds of which about half were drugs ...
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Logic Programming In Radial Basis Function Neural Networks
... feedforward neural networks (Hölldobler and Kalinke, 1994; Hitzler et ...recurrent networks allow for an iteration of the single step function leading to a stable ...used radial basis ...
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Radial Basis Functions: Biomedical Applications and Parallelization
... in neural networks are explained in depth ...using networks to interpolate quantitatively. RBFs become popular in neural networks in ...enhance neural networks ...new ...
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Оцінювання ризику використання фінансових посередників з метою легалізації кримінальних доходів на основі інтелектуального аналізу даних
... constructed neural networks in the form of MLP multilayer perceptron (80% of models) than networks based on radial basis functions RBF (20% of ...of neural networks ...
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Analysis of back propagation and radial basis function neural networks for handover decisions in wireless communication
... the radial basis function (RBF) in the system of neural networks ...RBF networks are the feed-forward networks practiced with the use of supervised training ...of ...
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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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RBF interpolation of boundary values in the BEM for heat transfer problems
... (MQ) Radial Basis Function Networks (RBFNs)) for numerical solution of PDEs has been increasing ...of neural networks in boundary integrals, the treatment of the singularity in CPV ...
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Forecasting US unemployment with radial basis neural networks, kalman filters and support vector regressions
... where T the number of the out-of-sample observations and k the number of the step-ahead forecasts. In our case we apply the MDM test to couples of forecasts (SVR vs. another forecasting model). A negative realization of ...
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A Survey of Forecasting Preprocessing Techniques using RNs
... Artificial Neural Network (ANN) based on radial basis functions (RBFs) and the prediction results are compared with the ones we get without these preprocessing tools, with the high ...
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Filtered Wall: An Automated System to Filter Unwanted Messages from OSN User Walls
... In the last years, On-line Social Networks (OSNs) have become a popular interactive medium to communicate, share and disseminate a considerable amount of human life information. Daily and continuous communication ...
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Direction of Arrival and State of Polarization Estimation Using Radial Basis Function Neural Network (Rbfnn)
... The neural network is used to estimate the direction of arrival with different arrays such as circular arrays with real elements of cross- dipoles and tri-crossed-dipoles elements, where the RBFNN is trained by ...
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Intrusion Detection System Using Hybrid Approach by MLP and K-Means Clustering
... A neural network is type of network as a set of distributed units following by a particular topology ...artificial neural network functions are used in different model proposed by different author ...
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Application of Meshless Methods for Thermal Analysis
... using radial basis functions (RBFs) – which are simple to implement – for thermal ...problems. Radial basis functions are the natural generalization of univariate polynomial ...
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Rapid evaluation of radial basis functions
... dial basis function interpolants that can be used for all usual radial ba- sis functions discussed in this and previous ...of radial basis functions, which form the core of our ...
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A numerical technique based on integrated RBFs for the system evolution in molecular dynamics
... Radial basis function networks (RBFNs) have emerged as a powerful numerical tool for the solution of differential equations (e.g. Fasshauer, 2007). These approximators are able to work well (i.e. ...
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