IEEE

Fuzzy Nonlinear Regression Modeling With Radial Basis Function Networks

Abstract: In this article, we extend the popular supervised learning technique radial basis function network (RBFN) for regression modeling based on fuzzy responses ...
Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
IEEE

Radial Basis Function Neural Network With Hidden Node Interconnection Scheme for Thinned Array Modeling

Abstract: To extend the modeling area with artificial neural networks (ANNs) from finite periodic arrays to thinned arrays, where spacings between adjacent elements are crucial for array performance, ...
The Tax AdviserOpinion

R&D credits and the computer rental rules time forgot

Although computing has transformed radically in the past 45 years, the computer rental rules of Sec. 41 and regulations ...
BMJ

Two-dimensional strain profiles in patients with physiological and pathological hypertrophy and preserved left ventricular systolic function: a comparative analyses

Objective This study was designed to examine the utility of two-dimensional strain (2DS) or speckle tracking imaging to typify functional adaptations of the left ventricle in variant forms of left ...
BMJ

Echo-Doppler assessment of diastole: flow, function and haemodynamics

Correspondence to Dr Thierry C Gillebert, Department of Cardiology, Ghent University, 8K12IE Campus Heymans, De Pintelaan, 185, Gent B9000, Belgium;thierry.gillebert{at}ugent.be If you wish to reuse ...