Results 71 to 80 of about 538,077 (167)

Radial Basis Function Aided Space-Time Equalization in Dispersive Fading Uplink Environments

open access: yes, 2005
A novel Radial Basis Function Network (RBFN) assisted Decision-Feedback aided Space-Time Equalizer (DF-STE) designed for receivers employing multiple antennas is proposed.
Chen, S., Hanzo, L., Wolfgang, A.
core  

A Novel Deep Reinforcement Learning Based Extended Fractal Radial Basis Function Network for State‐of‐Charge Estimation

open access: yesIET Power Electronics
This paper presents a novel deep reinforcement learning based extended fractal radial basis function (DRL‐EFRBF) network for accurate state‐of‐charge (SOC) estimation in lithium iron phosphate (LiFePO4) batteries. Unlike conventional methods such as open
Syed M. Ali   +3 more
doaj   +1 more source

Nonlinear Image Restoration Using a Radial Basis Function Network

open access: yesEURASIP Journal on Advances in Signal Processing, 2004
We propose a nonlinear image restoration method that uses the generalized radial basis function network (GRBFN) and a regularization method. The GRBFN is used to estimate the nonlinear blurring function.
Iiguni Youji, Maeda Hajime, Icho Keiji
doaj   +1 more source

Radial basis function network learns ceramic processing and predicts related strength and density [PDF]

open access: yes
Radial basis function (RBF) neural networks were trained using the data from 273 Si3N4 modulus of rupture (MOR) bars which were tested at room temperature and 135 MOR bars which were tested at 1370 C.
Baaklini, George Y.   +3 more
core   +1 more source

Design of multiple function antenna array using radial basis function neural network

open access: yesJournal of Microwaves, Optoelectronics and Electromagnetic Applications
A novel approach to design Multiple Function Antenna (MFA) arrays using Artificial Neural Networks is suggested. A planar array with uniform current excitations which can generate different beam widths and gains is designed using Artificial Neural ...
B Rama Sanjeeva Reddy   +2 more
doaj   +1 more source

Mathematical Modeling on a Physics-Informed Radial Basis Function Network

open access: yesMathematics
The article is devoted to approximate methods for solving differential equations. An approach based on neural networks with radial basis functions is presented. Neural network training algorithms adapted to radial basis function networks are proposed, in
Dmitry Stenkin, Vladimir Gorbachenko
doaj   +1 more source

The numerical analysis of viscoelastic problems in signal propagation using a novel meshless Hermit-type RRKPM

open access: yesResults in Physics
Since meshless reproducing kernel particle method (RKPM) is easily affected by different kernel functions in numerical accuracy and stability, the Hermit-type function is introduced to the construction of trial function on boundary nodes.
Jichao Ma, Xin Tai
doaj   +1 more source

Modeling Marine Electromagnetic Survey with Radial Basis Function Networks

open access: yesJournal of ICT Research and Applications, 2014
A marine electromagnetic survey is an engineering endeavour to discover the location and dimension of a hydrocarbon layer under an ocean floor. In this kind of survey, an array of electric and magnetic receivers are located on the sea floor and record ...
Agus Arif   +2 more
doaj  

Home - About - Disclaimer - Privacy