Results 31 to 40 of about 11,022,240 (248)

Interpolation and Best Approximation for Spherical Radial Basis Function Networks

Abstract and Applied Analysis, 2013
Within the conventional framework of a native space structure, a smooth kernel generates a small native space, and radial basis functions stemming from the smooth kernel are intended to approximate only functions from this small native space.
Shaobo Lin, Jinshan Zeng, Zongben Xu
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Fully complex-valued radial basis function networks: orthogonal least squares regression and classification [PDF]

, 2008
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 ...
Hong, Xia, Chen, Sheng, Harris, Chris J., Hanzo, Lajos   +3 more
core   +2 more sources

Gaussian Radial Basis Function Neural Networks on Time Scales

Mathematics
We develop a radial basis function neural network (RBFNN) for dynamic equations on time scales using a Gaussian-type activation generated by the time-scale exponential.
Mahammad Khuddush, Svetlin G. Georgiev
doaj   +1 more source

Interevent times estimation of major and continuous earthquakes in Hormozgan region based on radial basis function neural network

Geodesy and Geodynamics, 2016
This paper presents a new method to estimate the time of important earthquakes in Hormozgan region with magnitude greater than 5.5 based on the Radial Basis Function (RBF) Neural Network (NN) models.
M.R. Mosavi, M. Kavei, M. Shabani, Y. Hatem Khani   +3 more
doaj   +1 more source

Deferring the learning for better generalization in radial basis neural networks [PDF]

, 2001
Proceeding of: International Conference Artificial Neural Networks — ICANN 2001. Vienna, Austria, August 21–25, 2001The level of generalization of neural networks is heavily dependent on the quality of the training data.
Galván, Inés M., Inés María Galván, Pedro Isasi, José María Valls, Valls, José M., Isasi, Pedro   +5 more
core   +1 more source

Structural and biochemical insights into the thermostable esterase Ta0887 from Thermoplasma acidophilum

FEBS Open Bio, EarlyView.
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey, Miriam Livier Llamas‐García, Gabriela M. Montero‐Morán, Leticia Santos, Samuel Lara‐González   +4 more
wiley   +1 more source

Bi‐ and Mono‐Allelic RFC1 Expansion in a North American Cohort With Idiopathic Axonal Neuropathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective RFC1 biallelic repeat expansion is increasingly recognized as a cause of chronic idiopathic axonal polyneuropathy (CIAP), but it remains challenging to know who to test. This study aims to determine the prevalence of biallelic and monoallelic RFC1 expansions and their corresponding neuropathy phenotypes in CIAP patients and identify ...
Amro M. Stino, Lavanya Muthukumar, Evan L. Reynolds, Peter Todd, Sinem Ovunc, Sheng Chih Jin, Zitian Tang, Simone Thomas, PNRR Study Group, Ahmet Höke, Brian C. Callaghan, Sarah Berth, Vinay Chaudhry, David Cornblath, Leana Doherty, Lindsey Hayes, Hristelina Ilieva, Thomas Lloyd, Mohammad Khoshnoodi, Brett McCray, Brett Morrison, Bipasha Mukherjee‐Clavin, Lyle Ostrow, Michael Polydefkis, Ricardo Roda, Charlotte Sumner   +25 more
wiley   +1 more source

Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks

, 1999
The paper presents a two-level learning method for radial basis function (RBF) networks. A regularized orthogonal least squares (ROLS) algorithm is employed at the lower level to construct RBF networks while the two key learning parameters, the ...
Luk, B.L., Wu, Y., Chen, S.
core   +1 more source

Lazy learning in radial basis neural networks: A way of achieving more accurate models [PDF]

, 2004
Radial Basis Neural Networks have been successfully used in a large number of applications having in its rapid convergence time one of its most important advantages.
Galván, Inés M., Valls, José M., Isasi, Pedro   +2 more
core   +1 more source