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-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models 来自 Semantic Scholar 喜欢 0 阅读量: 285 作者:X Song,L Lv,W Sun,J Zhang 摘要: In computational simulation, a high-fidelity (HF) model is generally more accurate ...
A radial basis function neural network was employed to model the abundance of cyanobacteria. The trained network could predict the populations of two bloom... G Hou,H Li,F Recknagel,... - 《Journal of Freshwater Ecology》 被引量: 3发表: 2006年 Object tracking by mean shift and radial bas...
In this paper we propose a novelty detection approach based on radial basis function neural networks (RBFNN), Markov chains and entropy. We employed it to model novel states and temporal relationships of health datasets.We conduct experiments with one synthetic dataset and three real-world ones ava...
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,...
青云英语翻译 请在下面的文本框内输入文字,然后点击开始翻译按钮进行翻译,如果您看不到结果,请重新翻译!Radial Basis Function network is a two-layer feedforward neural network, including a hidden layer of radial basis functions and an output layer of linear neurons. It can approximate arbitrary function...
A radial basis function neural network is used as the final classifier and variation in its structure is studied to evaluate its real-time performance. Results on speaker-dependent and speaker-independent recognition across -5 dB to 25 dB SNR range are presented and a performance evaluation is ...
A Tunable Radial Basis Function Model for Nonlinear System :一种非线性系统的可调径向基函数模型A,a,帮助,Basis,Model,for,basis,model,非线性系统,非线性 文档格式: .pdf 文档大小: 513.1K 文档页数: 29页 顶/踩数: 0/0 收藏人数: 0 评论次数: ...
A rational radial basis function method for accurately resolving discontinuities and steep gradients 来自 国家科技图书文献中心 喜欢 0 阅读量: 43 作者:Sarra,Scott,A.,Bai,Yikun 摘要: Radial Basis Function (RBF) methods have become im 关键词: Radial Basis Functions Rational interpolation Time-dependent...