radial basis function approach
Mathematical Modeling with Local Volatility Surface by Radial Basis Function Approach
... used radial basis function method for solving options pricing model in 1999 ...volatility function for options pricing model also in 1999 ...especially radial basis functions ...
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Approximation of function and its derivatives using radial basis function networks
... both function and especially its ...nite basis and all derivatives are obtained as a ...indirect approach the start- ing point is the decomposition of the highest derivatives into some nite ...the ...
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Radial Basis Function Networks for Conversion of Sound Spectra
... processing approach has been pro- posed by Stylianou et ...conversion function was build from training examples and was used to convert the spectral features of a first speaker in the spectral features of a ...
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A novel integrated approach of relevance vector machine optimized by imperialist competitive algorithm for spatial modeling of shallow landslides
... The Imperialist Competitive Algorithm (ICA), proposed by Atashpaz-Gargari and Lucas [81], is inspired from the field of human social evolution. This algorithm belongs to the group of swarm intelligence, which can ...
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Logic Programming In Radial Basis Function Neural Networks
... Several approaches that have been proposed for an integrated neural-symbolic system have made significant progress in the recent past. The question that arose naturally is how symbolic knowledge can be represented and ...
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Analysis of back propagation and radial basis function neural networks for handover decisions in wireless communication
... Comparison in the performance of BPNN and RBF networks fascinated the thoughtfulness of the many researchers. Many researchers found that the RBF defeated the BPNN in recognition of voice while some other researchers ...
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Computation of transient viscous flows using indirect radial basis function networks
... This approach allows a precise representation of the interface whereas its main drawback is the severe deforma- tion of the mesh as the interface ...ond approach, which is based on fixed grids, in- cludes ...
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Heady et al., 1990(Sundaram, 1996). Intrusion detection is classified into two
... ensemble approach. The motivation for using the hybrid approach is to improve the accuracy of the intrusion detection system when compared to using individual ...of radial basis ...
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An Application Of Radial Basis Function In Identifying Banana Maturity Level
... An artificial neural network (ANN), often just called a "neural network" (NN), is a mathematical model or computational model based on biological neural networks. It consists of an interconnected group of ...
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Function Approximation Using Robust Radial Basis Function Networks
... this approach but Fogel and Huang [18] proposed a minimal volume recursive algorithm (FHMV) which minimizes the size of an ellip- soid and was attractive for on-line ...
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Impact of Structural Components of Market on the Markup Level Based on Radial Basis Neural Network and Fuzzy Logic
... a radial basis function for clustering the industries and the fuzzy logic approach to appraise the impact of concentration intensity, intensity of entry to barrier and economies of scale ...
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Classifying ReachOut posts with a radial basis function SVM
... the ith point is misclassified. The C parameter af- fects the tradeoff between training error and model complexity. A small C tends to produce a simpler model, at the expense of possibly underfitting, while a large one ...
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Compact integrated radial basis function modelling of particulate suspensions
... integrated radial basis function (CIRBF) approximations for the spatial discretisation, and (iii) second-order Adams-Bashforth/Crank- Nicolson algorithms for the temporal ...delta function is ...
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A Survey on Data Classification using Machine Learning Techniques
... with radial basis function networks based on a novel kernel density estimation ...learning approach for well-organized construction of the radial basis function (RBF) ...
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An Approach to Measure Pronunciation Similarity in Second Language Learning Using Radial Basis Function Kernel
... the approach tries to measure the distortion in a set of phones that belong to a specific phoneme, produced by a group of native speakers n and compare it to that of non-native speakers of some specific language ...
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Writer Identification and Recognition Using Radial Basis Function
... utilizes Radial Basis Function (RBF) in the Off-line ...Our approach is text independent and uses text lines as basic entities, from which features are ...
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Preconditioning for radial basis function partition of unity methods
... this approach may some- times fail (for example, when the domain has thin sections with only one layer of patches such that changing direction is not possible), the general principle of ordering patches in terms ...
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C2-Element radial basis function methods for some continuum mechanics problems
... the function itself. This approach is less sensitive to noise than the usual differential approach and appears to be more suitable for applications involving derivatives such as the numerical ...
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Radial Basis Function Neural Networks : A Review
... structures, radial basis network (RBF), general regression neural network (GRNN) and probabilistic neural network (PNN) on the Wisconsin breast cancer data ...evolutionary radial basis ...
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Radial Basis Function Assisted Turbo Equalization
... This approach is dif- ferent from that of the RBF-based equalizer having a feedfor- ward order of , where the received sequence of -symbols is required each time the a posteriori LLR is evalu- ated using ...
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