RBF


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RBF

Abbreviation for renal blood flow. See: effective renal blood flow.
References in periodicals archive ?
"This event marks the coming together of two ideologies that have changed the course of civilizations across the world," said Tarina Patel of RBF Foundation.
For each data set, each sequence are predicted by BP neural network, RBF neural network, Elman neural network and LSTM neural network, then the prediction results of the same prediction model with different subsequences from the same data set are added up, thus the prediction results of VMD-BP, VMD-RBF, VMD-Elman and VMD-LSTM are obtained.
This study adds to this growing body of empirical examination of the key assumptions underpinning RBF; it does so in light of the operational and implementation ground realities.
The sliding mode controller with RBF neural network compensation based on the Lyapunov method is addressed in Section 4.
A comparison of both the effects of PCA and ICA on the classification performance and the classification performances of LDA and SVM with linear and RBF kernels was done on the EEG data that derived from the normal and patients with epilepsy.
KT Tunstall Scots rocker has perfected the mean and moody look, making her a chart-topper for RBF.
RBF is an additional, innovative, financing instrument that supports government-owned programs and links disbursements directly to the achievement of program results.
RBF will be the Bank's third financing instrument to complement the two existing instruments, namely, investment lending and program-based operations (PBOs).
In this paper, the nonlinear attribute selection methods used include the nearest neighbor method, support vector machine, multilayer perception, radial basis function network (RBF network), and rough set theory.
In the RBF meshless scheme, the approximation of U at the node x = ([x.sub.i], [y.sub.i]) can be written as a linear combination of N RBFs:
Fuzzy clustering is performed based on the measured historical power data of the wind turbines, and the classification of the unit is realized using the advantages of the nonlinear fitting of the RBF; a sample of historical data of 33 wind turbines in a wind farm is trained and tested.
To be more precise, meshfree RBF methods are of interest for solving PDEs due to alternative convergence properties [5, chapter 2], implementation advantages, etc.