Results 31 to 40 of about 35,631 (308)

A Divide-and-Cooperate Machine Learning Model-Based RBF With Its VC Dimension Analysis

IEEE Access, 2020
In this paper, a Divide-and-Cooperate Machine Learning Model (DCML) based Radial Basis Function Network (RBF) is constructed. This DCML is composed of several sub-RBF networks that take some variables as their inputs. The output of DCML is the sum of sub-
Rongbo Huang, Jianwei Dong, Suixun Guo, Yanmei Chen   +3 more
doaj   +1 more source

Statistical Analysis of Novel Ensemble Recursive Radial Basis Function Neural Network Performance on Global Solar Irradiance Forecasting

Journal of Electrical and Computer Engineering, 2023
Reliable operation of energy management systems, grid stability, and managing energy demand responses are becoming challenging because of the flickering nature of solar irradiance.
Manoharan Madhiarasan, Mohamed Louzazni, Brahim Belmahdi   +2 more
doaj   +1 more source

Orthogonal forward selection for constructing the radial basis function network with tunable nodes

, 2005
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, Harris, C. J., Sheng Chen, Chris J. Harris, Hong, X., Harris, C.J., Chen, S.   +6 more
core   +1 more source

Extending the functional equivalence of radial basis functionnetworks and fuzzy inference systems [PDF]

, 1996
We establish the functional equivalence of a generalized class of Gaussian radial basis function (RBFs) networks and the full Takagi-Sugeno model (1983) of fuzzy inference.
Hunt, K.J., Murray-Smith, R., Haas, R.
core   +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

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

Global Identification of FitzHugh-Nagumo Equation via Deterministic Learning and Interpolation

IEEE Access, 2019
Spiral wave is closely related to the occurrence of malignant ventricular arrhythmia. It is important and necessary to study the spiral wave dynamics to better analyze and control spiral waves. In this paper, the dynamics of FitzHugh-Nagumo(FHN) model is
Xunde Dong, Wenjie Si, Cong Wang
doaj   +1 more source

A Proposed Method For Selecting The Clustering Algorithm In Radial Basis Function [QA223. A581 2008 f rb]. [PDF]

, 2008
Rangkaian Fungsi Asas Radial telah digunakan dengan meluas untuk menganggarkan dan mengelaskan data. Model biasa bagi Fungsi Asas Radial menentukan pusat, Radial Basis Function Networks have been widely used to approximate data and classify data.
Ang, Sau Loong
core  

Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende, Emilien Petit, Young Woo Park, Sophie Tezenas du Montcel, James M. Joers, Jonathan M. DuBois, H. Moore Arnold, Michal Povazan, Ipek Özdemir, Guita Banan, Romain Valabregue, Philipp Ehses, Jennifer Faber, Chiadi U. Onyike, Peter B. Barker, Jeremy D. Schmahmann, Eva‐Maria Ratai, Sub H. Subramony, Thomas H. Mareci, Khalaf O. Bushara, Henry Paulson, Thomas Klockgether, Alexandra Durr, Tetsuo Ashizawa, Christophe Lenglet, Gülin Öz, READISCA Investigators   +26 more
wiley   +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