Radial Basis Function Models 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! 翻译结果1翻译结果2翻译结果3翻译结果4翻译结果5 翻译结果1复制译文编辑译文朗读译文返回顶部 径向基函数模型 翻译结果2复制译文编辑译文朗读译文返回顶部...
We introduced support vector regression (SVR) and radial basis function (RBF) models to path loss predictions in the investigated environments. The SVR model was able to process several input parameters without introducing complexity to the network architecture. The RBF on its part provides a good ...
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促进彼此了解, Promotes each other understanding,[translate] aspatial relationship between reference models and the customized 根据我们的初步执行是鼓励的[translate] ajects, radial-basis function (RBF). jects,辐形依据作用(RBF)。[translate]
Building and using probabilistic models to perform stochastic optimization in the case of continuous random variables, has so far been limited to the use of factorizations as the structure of probabilistic models Furthermore, the only pr... PAN Bosman,D Thierens - 《Utility Week》 被引量: 29发...
distributions in NMR viscosity models could produce erroneous heavy oil viscosity estimations. Several attempts have been made to overcome these challenges by taking into account ! at a fixed interecho time (TE), or a TE-dependent !. We have developed a new radial-basis-function-based heavy ...
评论次数: 0 文档热度: 文档分类: 待分类 文档标签: RadialBasisFunctionNetworksandNonlinearDataModelling 系统标签: radialmodellingbasisrbfsnonlinearnetworks RadialBasisFunctionNetworksandNonlinear DataModelling. MatsCarlin SINTEF,Box124Blindern,N-0314Oslo,Norway Tel.+4722067910,Fax.+4722067350 Email:Mats.Carlin@...
...bilistic neural network)和辐射基底类神经网路(radial basis function neural network)。 etds.lib.ncku.edu.tw|基于3个网页 3. 辐射基底函数类神经网路 ...pagation Neural Network),辐射基底函数类神经网路(Radial Basis Function Neural Network),和机率类神经网路(Prob… ...
Both models are widely used for classification and function approximation.关键词: conjugate gradient methods feedforward neural nets function approximation learning (artificial intelligence adaptive function approximation computational effort convergence digitally implemented Gaussian functions gradient descent based ...
The evaluation showed that both models gave reasonably good predictions, but the performance of the RBF neural network was superior to that of the classical statistical method for all three data sets used (training, testing, full). Sensitivity analysis revealed that of the three experimental factors...