A radial basis function (RBF)-based ghost cell method is presented to simulate flows around a rigid or flexible moving hydrofoil on a Cartesian grid. A compactly supported radial basis function (CSRBF) is introduced to the ghost cell immersed boundary method to treat the complex flexible ...
A radial basis function network is a type of supervised artificial neural network that uses supervised machine learning (ML) to function as a nonlinear classifier. Nonlinear classifiers use sophisticated functions to go further in analysis than simple linear classifiers that work on lower-dimensional ve...
Abstract Neural Networks (NNs) have been widely used in many industrial processes for prediction and optimization and they have been proven to be useful tools for explaining complex processes. The main objective of this work consists of improving the accuracy of a Radial Basis Function Neural Networ...
Objective:To establish a prediction model for infant mortality by using the method of Radial Basis Function Artificial Neural Network.Method:A regression model based on the Radial Basis Function Artificial Neural Network theory was established for this issue,which was then applied to predict the infant...
ATunableRadialBasisFunctionModelforNonlinear SystemIdentificationUsingParticleSwarmOptimisation S.Chen 1 ,X.Hong 2 ,B.L.Luk 3 ,C.J.Harris 1 1 SchoolofElectronicsandComputerScience UniversityofSouthampton,SouthamptonSO171BJ,UK 2 SchoolofSystemsEngineering UniversityofReading,ReadingRG66AY,UK 3 Department...
It is a direct method that uses radial basis functions augmented with multivariate polynomials. A key element of this method is that it does not need an explicit expression of the surface, which can be simply defined by a set of scattered nodes. Likewise, it does not require expressions for...
Hydrological Sciences–Journal–des Sciences Hydrologiques, 51(1) February 2006 21 Determining the structure of a radial basis function network for prediction of nonlinear hydrological time series A. W. JAYAWARDENA1, P. C. XU2, F. L. TSANG1 & W. K. LI3 1 Department of Civil Engineering,...
摘要: Presents the application of a Radial Basis Function (RBF) Neural Network (NN) for fault diagnosis in a high-voltage direct current (HVDC) system. Architecture of RBF NN; Description of the HVDC system; Classifications of fault pattern; Fault identification....
Radial basis functionAutonomous robots cannot be programmed in advance for all possible situations. Instead, they should be able to generalize the previously ... D Forte,A Gams,J Morimoto,... - 《Robotics & Autonomous Systems》 被引量: 64发表: 2012年 Linear tree and RIPPER (Cohen, 1995),...
A two-level learning hierarchy for the radial basis function networks径向基函数神经网络的一种两级学习方法 CHEN Jun-feng,REN Zi-wu,SAN Ye,陈俊风,任子武,伞冶 Keywords: radial basis function networks,two-level learning hierarchy,modeling,generalization ability径向基网络,两级学习,建模,泛化能力 Full...