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Showing 1 to 20 of 28 for “"radial basis function (RBF)"”.
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An evaluation of support vector machines in consumer credit analysis
… credit. The support vector machine using a radial basis function (RBF) kernel is compared to a previous implementation of a decision tree machine learning model. The dataset used for evaluation was provided by a large bank and includes relevant consumer-level data, including transactions and …
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Computing Eigenmodes of Elliptic Operators on Manifolds Using Radial Basis Functions
… compared against existing alternative methods. Radial Basis Function (RBF)-based methods allow one to obtain interpolation and differentiation matrices easily by using scattered data points. We derive expressions for such matrices for the Laplace-Beltrami operator via so-called Reilly’s formulas …
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Improvement of pavement mechanistic-empirical design (PMED) virtual weather station interpolation model using radial basis function - Tennessee case study
… model interpolation technique and that by a Radial Basis Function (RBF). RBF interpolation showed very fast error convergence with the increase in number of interpolation data as compared to the gravity model. Contour plots emphasized the quality of interpolation where the RBF model produced …
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DEVELOPMENT AND APPLICATIONS OF MACHINE/DEEP LEARNING TECHNIQUES IN FLUID DYNAMICS
… (MLP) networks are enhanced by the Gaussian radial basis function (RBF) with trainable centers and widths. Activated by Gaussian RBFs, the proposed MLP-RBF network is more accurate and efficient in nonlinear regression problems. Secondly, in view of the network structure, RBF approximation is …
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Efficient facial animation integrating Euclidean and geodesic distance-based algorithms into radial basis function interpolation.
… animation with this technology together with Radial Basis Function (RBF) interpolation, covering a review of Euclidean and geodesic distance-based algorithms, and proposing a hybrid approach that tries to take the advantages of the two previous methods aided by pre-processed distance data to …
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FAULT DETECTION AND ISOLATION FOR WIND TURBINE DYNAMIC SYSTEMS
… for WTS fault detection and isolation. Two radial basis function (RBF) networks are employed in this method. The first NN is used to generate the residual from system input/output data. A second NN is used as a classifier to isolate the faults. The classifier is trained to achieve the …
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Inverse Volume-of-Fluid Meshless Method for Efficient Non-Destructive Thermographic Evaluation
… novel computational tool based in the Localized Radial-basis Function (RBF) Collocation (LRC) Meshless method coupled with a Volume-of-Fluid (VoF) scheme capable of accurately and efficiently solving transient multi-dimensional heat conduction problems in composite and heterogeneous media is …
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Real-time identification of an unmanned quadcopter flight dynamics using fully tuned radial basis function network
… configuration. This study utilised a fully tuned radial basis function (RBF) neural network to obtain a minimal structure and avoid pre-determining the number of hidden neurons by introducing the adding and pruning neuron strategy. The prediction performance of the proposed fully tuned RBF was …
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Automatic solar feature detection using image processing and pattern recognition techniques
… techniques such as Multi-Layer Perceptron (MLP), Radial Basis Function (RBF), and Support Vector Machine (SVM) are used. By tracking the entire process of flares, the motion properties of two-ribbon flares are derived automatically. In the applications of the solar filament detection, the …
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Systems Pharmacology – Machine Learning Approaches in Profiling Oncology Drug Candidates
… We evaluated SVM kernels and showed non-linear radial basis function (RBF) performed better than others. We also showed that adding additional hidden layers, beyond three, to the ANN model with ADAM optimizer did not improve performance. Besides, multi-tree ensemble models were superior to …
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Landmark localisation in 3D face data
… derived from either unstructured face data, or a radial basis function (RBF) model of the facial surface. A ground–truth of eleven facial landmarks is collected over well–registered facial images in the Face Recognition Grand Challenge (FRGC) database. Then, a range of feature descriptors of …
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Distortion Correction for Non-Planar Deformable Projection Displays through Homography Shaping and Projected Image Warping
… on the projected images, (iii) calculating Radial Basis Function (RBF) warping coefficients from the control points, and warping the projected image to obtain an undistorted image of the projection on the projection surface. Several novel aspects of this work have emerged and include (i) …
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Behavioral Modeling of Nonlinear Circuit Elements: Application to Signal Integrity and Electromagnetic Compatibility
… a suitable class of parametric models leads to Radial Basis Function (RBF) representations, that offer many advantages in the modeling of systems with strong nonlinear nature and multiple inputs. We developed a simplified RBF model that can be obtained from measured port voltage and current. The …
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Assessing classification confidence using a weighted exponential based technique with the Learn++ incremental learning algorithm
… including the multilayer perceptron (MLP), radial basis function (RBF), and probabilistic neural networks (PNN). In addition to its versatility with respect to the classifier used, it can be used on a wide variety of applications. The small subset of the applications that were explored in …
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Otimização robusta do controle de poços de reservatórios de petróleo utilizando modelo substituto
… em ajuste de dados que utilizam funções de base radial (Radial Basis Function - RBF) são construídos. Neste caso, o modelo substituto é aplicado em um processo iterativo chamado de otimização por aproximação sequencial (Sequential Aproximate Optimization - SAO), que utiliza o otimizador SQP …
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Prediction of Severity of Aviation Landing Accidents Using Support Vector Machine Models
… were developed in using the linear, polynomial, radial basis function (RBF), and sigmoid kernels for the severity of aircraft damage and another four SVM models were developed for the severity of personal injury. Five-fold cross-validation was used for testing the model accuracy and measures …
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Classification of Dense Masses in Mammograms
… is used to classify two class problems and radial basis function (RBF) kernel is used to find the best possible (c and gamma) values. Results obtained in this research suggest the best classification accuracy was achieved by using the support vector machines for both Tumor vs Non-Tumor and …
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Efficient and robust partitioned solution schemes for fluid-structure interactions
… field solvers. In the first part of the thesis, radial basis function (RBF) interpolation is introduced for interface information transfer. RBF interpolation requires no grid connectivity information, and therefore presents an elegant means by which to transfer information across a non-matching …
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Advanced Neural Network Based Control for Automotive Engines
… network based control schemes are proposed: radial basis function(RBF) neural network based feedforward-feedback control scheme, RBF based model predictive control scheme, and diagonal recurrent neural network (DRNN) - based model predictive control scheme. The major objective of these …
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Development of Adaptive and Factorized Neural Models for MPC of Industrial Systems
… Adaptive modelling techniques using radial basis function (RBF) networks often provide competitive modelling performances but encounter slow recovery speed when processes operating regions are shifted largely. In addition, RBF networks based model predictive control results as a …
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