radial basis function artificial neural networks
Fouling prediction using neural network model for membrane bioreactor system
... [24] SA Mirbagheri, M Bagheri, S Boudaghour, M Ehteshami, Z Bagheri. Performance evaluation and modeling of a submerged membrane bioreactor treating combined municial and industrial wastewater using radial ...
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Prediction of the pharmaceutical solubility in water and organic solvents via different soft computing models
... different artificial neural networks, including multilayer perceptron, radial basis function, and support vector machine, were constructed to predict the solubility of these ...
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Comparison between Multi Layer Perceptron and Radial Basis Function Networks for Sediment Load Estimation in a Tropical Watershed
... Prediction of highly non-linear behavior of suspended sediment flow in rivers has prime importance in environmental studies and watershed management. In this study, the predictive performance of two Artificial ...
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Performance Evaluation Analysis of MLP & DG-RBF Feed Forward Neural Networks for Pattern Classification of Handwritten English Curve Scripts Naveen Kumar Sharma 1, S R Pande2 and Manu Pratap Singh 3*
... [37-41]. Artificial Neural Networks (ANNs) have played a wonderful role in achieving remunerable ...is Radial Basis Function Network and its ...the Radial Basis ...
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Software Reliability prediction using Ensemble Model
... as Radial Basis Function Neural Network (RBFNN) model, Ensemble model based on two types Feed Forward Neural Networks and one Radial Basis Function ...
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Numerical Solution of Sixth Order Differential Equations Arising in Astrophysics by Neural Network
... Hopfield neural network ...forward neural network. Artificial neural networks based on Broyden-Fletcher-Goldfarb-Shanno (BF GS) optimization technique for solving ordinary and partial ...
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Analysis of back propagation and radial basis function neural networks for handover decisions in wireless communication
... the artificial neural ...propagation neural network is a supervised learning strategy, and is a speculation of the delta ...by artificial neurons (or "hubs") be differentiable ...a ...
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Logic Programming In Radial Basis Function Neural Networks
... interconnecting artificial neurons, which may share some properties of biological neural ...All neural networks perform essentially the same function, mainly vector ...computational ...
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Comparative Application of Radial Basis Function and Multilayer Perceptron Neural Networks to Predict Traffic Noise Pollution in Tehran Roads
... the neural network model to pre- dict the noise levels due to continuous and non- continuous traffic flow in ...back-propagation neural network (BPN) and a regression model to predict the noise of ...
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Learning enhancement of radial basis function network with particle swarm optimization
... Radial Basis Function (RBF) Networks form a class of Artificial Neural Networks (ANNs), which has certain advantages over other types of ANNs, such as better approximation ...
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Comparison of multilayer and radial basis function neural networks for text dependent speaker recognition
... of artificial neural networks to both text-independent and text-dependent speaker recognition ...of radial basis function (RBF) networks ...MLP networks [14, 5, ...
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Radial Basis Function Neural Networks : A Review
... a radial basis function neural network (RBFNN) to accurately recognize and predict the onset of Parkinson’s disease tremors in human ...new radial basis function ...
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Design of Aperture Coupled Microstrip Antenna Using Radial Basis Function Networks
... two Artificial Neural Network (ANN) models using radial basis function (RBF) nets are developed for the design of Aperture Coupled Microstrip Antennas (ACMSA) for different number of ...
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Long-Term Peak Demand Forecasting by Using Radial Basis Function Neural Networks
... and artificial intelligence based methods. The artificial intelligence methods are further classified in to neural networks [1] [2] [4] [8] [10], support vector machines [15], genetic ...
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A Computerized Neural Network System to Filter Unwanted Messages from OSN User Walls
... Basis Function Networks (RBFN) for their proven capabilities in acting as soft classifiers, in managing noisy data and intrinsically vague ...the basis of both message content and the message ...
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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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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 ...Many artificial neural network functions are used in different model proposed by different ...
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Computation of transient viscous flows using indirect radial basis function networks
... set function φ is initialized as a signed distance function from the moving inter- face, this is not necessarily true as time ...tance function from the evolving front Γ at each time ...a ...
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Novel Ensemble Neural Network Models for better Prediction using Variable Input Approach
... Ensemble Artificial Neural Network (ANN) models, namely, Multilayer Perceptron Network (MLPN), Elman Recurrent Neural Network (ERNN), Radial Basis Function Network (RBFN), ...
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Filtered Wall: An Automated System to Filter Unwanted Messages from OSN User Walls
... of neural learning which is today recognized as one of the most efficient solutions in text ...on Radial Basis Function Networks (RBFN) with Self Organizing Neural Network ...
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