Results 41 to 50 of about 1,175,505 (360)

Snow cover thickness estimation using radial basis function networks [PDF]

open access: yesThe Cryosphere, 2013
This paper reports an experimental study designed for the in-depth investigation of how the radial basis function network (RBFN) estimates snow cover thickness as a function of climate and topographic parameters.
E. Binaghi   +3 more
doaj   +1 more source

Error estimates for interpolation of rough data using the scattered shifts of a radial basis function

open access: yes, 2007
The error between appropriately smooth functions and their radial basis function interpolants, as the interpolation points fill out a bounded domain in R^d, is a well studied artifact. In all of these cases, the analysis takes place in a natural function
F.J. Narcowich   +8 more
core   +1 more source

Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression [PDF]

open access: yes, 2010
We develop a particle swarm optimisation (PSO) aided orthogonal forward regression (OFR) approach for constructing radial basis function (RBF) classifiers with tunable nodes.
Chen, S, Harris, C J, Hong, Xia
core   +1 more source

An Improved Radial Basis Function Interpolation Method in Unstructured Nested Grids

open access: yesHangkong gongcheng jinzhan, 2019
The unstructured hybrid grid has complex topological relation, and is easy to generate the accuracy loss in nested grid while performing the flow field information interpolation.
Jin Chenhui   +3 more
doaj   +1 more source

Gaussian Radial Basis Function interpolation in vertical deformation analysis

open access: yesGeodesy and Geodynamics, 2021
In many deformation analyses, the partial derivatives at the interpolated scattered data points are required. In this paper, the Gaussian Radial Basis Functions (GRBF) is proposed for the interpolation and differentiation of the scattered data in the ...
Mohammad Amin Khalili, Behzad Voosoghi
doaj   +1 more source

Symmetric RBF classifier for nonlinear detection in multiple-antenna aided systems [PDF]

open access: yes, 2008
In this paper, we propose a powerful symmetric radial basis function (RBF) classifier for nonlinear detection in the so-called “overloaded” multiple-antenna-aided communication systems. By exploiting the inherent symmetry property of the optimal Bayesian
Chen, Sheng   +3 more
core   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

open access: yesFEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo   +2 more
wiley   +1 more source

Strength through diversity: how cancers thrive when clones cooperate

open access: yesMolecular Oncology, EarlyView.
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken   +3 more
wiley   +1 more source

A Novel Reliability Analysis Approach With Collaborative Active Learning Strategy-Based Augmented RBF Metamodel

open access: yesIEEE Access, 2020
Metamodels in lieu of time-demanding performance functions can accelerate the reliability analysis effectively. In this paper, we propose an efficient collaborative active learning strategy-based augmented radial basis function metamodel (CAL-ARBF), for ...
Yanxu Wei, Guangchen Bai, Lu-Kai Song
doaj   +1 more source

Compact and accurate variational wave functions of three-electron atomic systems constructed from semi-exponential radial basis functions

open access: yes, 2010
The semi-exponential basis set of radial functions (A.M. Frolov, Physics Letters A {\bf 374}, 2361 (2010)) is used for variational computations of bound states in three-electron atomic systems.
Frolov, Alexei M
core   +1 more source

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