Results 21 to 30 of about 3,920,328 (252)
Grey-box radial basis function modelling
A fundamental principle in data modelling is to incorporate available a priori information regarding the underlying data generating mechanism into the modelling process.
Hong, Xia, Chen, Sheng, Harris, Chris
core +2 more sources
Synthetic aperture radar tomography (TomoSAR) has been proven to be a useful way to reconstruct vertical structure over forest areas with P-band images, on account of its three-dimensional imaging ability.
Xing Peng +8 more
doaj +1 more source
An orthogonal terrain-following coordinate and its preliminary tests using 2-D idealized advection experiments [PDF]
We have designed an orthogonal curvilinear terrain-following coordinate (the orthogonal σ coordinate, or the OS coordinate) to reduce the advection errors in the classic σ coordinate.
Y. Li, B. Wang, D. Wang, J. Li, L. Dong
doaj +1 more source
Orthogonal forward selection for constructing the radial basis function network with tunable nodes
An orthogonal forward selection (OFS) algorithm based on the leave-one-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tunable nodes.
Xia Hong +6 more
core +1 more source
In this work, we study and compare two methods for passing from a dual basis to the basis of a finite-dimensional vector space by recalling the passage from a basis to its dual.
Michael Kilela Makiese +4 more
doaj +1 more source
A tunable radial basis function model for nonlinear system identification using particle swarm optimisation [PDF]
A tunable radial basis function (RBF) network model is proposed for nonlinear system identification using particle swarm optimisation (PSO). At each stage of orthogonal forward regression (OFR) model construction, PSO optimises one RBF unit's centre ...
Harris, C. J. +12 more
core +1 more source
Orthogonal least squares regression with tunable kernels [PDF]
A novel technique is proposed to construct sparse regression models based on the orthogonal least squares method with tunable kernels. The proposed technique tunes the centre vector and diagonal covariance matrix of individual regressor by incrementally ...
Wang, X. X. +4 more
core +2 more sources
On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems [PDF]
The combination of the synthetic minority oversampling technique (SMOTE) and the radial basis function (RBF) classifier is proposed to deal with classification for imbalanced two-class data.
Hong, Xia +3 more
core +2 more sources
On a family of spectral problems for fourth-order ordinary differential operators
Academician Olga Ladyzhenskaya highlighted the significance of developing a fundamental system in the space of solenoidal functions for canonical domains such as cubes, squares, and related geometries. In principle, such a construction could be obtained
M.T. Jenaliyev +2 more
doaj +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source

