Radial Basis Function Aided Space-Time Equalization in Dispersive Fading Uplink Environments
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.
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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
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Nonlinear Image Restoration Using a Radial Basis Function Network
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
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Radial basis function network learns ceramic processing and predicts related strength and density [PDF]
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
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Design of multiple function antenna array using radial basis function neural network
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
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Mathematical Modeling on a Physics-Informed Radial Basis Function Network
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
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Retracted: Rehabilitation Educational Design for Children with Autism Based on the Radial Basis Function Neural Network. [PDF]
Healthcare Engineering JO.
europepmc +1 more source
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
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Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel. [PDF]
Mastropietro A, Feldmann C, Bajorath J.
europepmc +1 more source
Modeling Marine Electromagnetic Survey with Radial Basis Function Networks
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
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