نتایج جستجو برای: rbf model

تعداد نتایج: 2107968  

Journal: :The American journal of clinical nutrition 2002
Anna Maria Langkilde Martine Champ Henrik Andersson

BACKGROUND Resistant starch (RS) has attracted interest because of its effects in the colon and implications for health. Knowledge of how RS influences small-intestinal absorption of nutrients, sterol metabolism, and colonic fermentation is sparse. OBJECTIVES The objectives of this study were to measure the effect of RS(2), a type of RS in banana flour, on the ileal excretion of energy, nutri...

2014
Antoine G Schneider Paolo Calzavacca Anthony Schelleman Tim Huynh Michael Bailey Clive May Rinaldo Bellomo

BACKGROUND Contrast-enhanced ultrasonography (CEUS) is a novel imaging modality to estimate microvascular perfusion. We aimed to assess renal cortical microcirculatory changes by CEUS during pharmacologically or mechanically induced modifications of renal blood flow (RBF) in experimental animals. METHODS We implanted invasive transit-time Doppler flow probes and a vascular occluder around the...

Journal: :Physics in medicine and biology 2012
Nadezhda Shusharina Gregory Sharp

Landmark-based registration using radial basis functions (RBF) is an efficient and mathematically transparent method for the registration of medical images. To ensure invertibility and diffeomorphism of the RBF-based vector field, various regularization schemes have been suggested. Here, we report a novel analytic method of RBF regularization and demonstrate its power for Gaussian RBF. Our anal...

2012
VACLAV SKALA

Radial Basis Functions (RBF) interpolation theory is briefly introduced at the “application level” including some basic principles and computational issues. The RBF interpolation is convenient for un-ordered data sets in n-dimensional space, in general. This approach is convenient especially for a higher dimension N 2 conversion to ordered data set, e.g. using tessellation, is computationally v...

Journal: :The American journal of physiology 1998
Simon C Malpas Roger G Evans Geoff A Head Elena V Lukoshkova

We have examined the role of the renal sympathetic nerves in the renal blood flow (RBF) response to hemorrhage in seven conscious rabbits. Hemorrhage was produced by blood withdrawal at 1.35 ml ⋅ min-1 ⋅ kg-1for 20 min while RBF and renal sympathetic nerve activity (RSNA) were simultaneously measured. Hemorrhage was associated with a gradual increase in RSNA and decrease in RBF from the 4th min...

Journal: :Development 2002
Shijie Xin Li Weng Jinhua Xu Wei Du

During Drosophila eye development, cell proliferation is coordinated with differentiation. Immediately posterior to the morphogenetic furrow, cells enter a synchronous round of S phase called second mitotic wave. We have examined the role of RBF, the Drosophila RB family homolog, in cell cycle progression in the second mitotic wave. RBF-280, a mutant form of RBF that has four putative cdk phosp...

Journal: :Neurocomputing 2008
Sheng Chen Xia Hong Christopher J. Harris Lajos Hanzo

We consider a fully complex-valued radial basis function (RBF) network for regression and classification applications. For regression problems, the locally regularised orthogonal least squares (LROLS) algorithm aided with the D-optimality experimental design, originally derived for constructing parsimonious real-valued RBF models, is extended to the fully complex-valued RBF (CVRBF) network. Lik...

1995
E. S. CHNG

We present a method of modifying the structure of radial basis function (RBF) network to work with non-stationary series that exhibit homogeneous non-stationary behaviour. In the original RBF network, the hidden node's function is to sense the trajectory of the time series and to respond when there is a strong correlation between the input pattern and the hidden node's center. This type of resp...

Journal: :CoRR 2013
Varun Shankar Grady B. Wright Robert Michael Kirby Aaron L. Fogelson

We present a new computational method by extending the immersed boundary (IB) method with a geometric model based on parametric radial basis function (RBF) interpolation of the Lagrangian structures. Our specific motivation is the modeling of platelets in hemodynamic flows, although we anticipate that our method will be useful in other applications involving surface elasticity. The efficacy of ...

2015
Gilberto Sierra

In this paper, has been presented a stable method for predicting the ECG signals through the RBF neural networks, by the PSO algorithm. In spite of quasi-periodic ECG signal from a healthy person, there are distortions in electrocardiographic data for a patient. Therefore, there is no precise mathematical model for prediction. Here, we have exploited neural networks that are capable of complica...

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