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RBF-SC: A Fast Community Detection Technique Using Radial Basis Functions
We propose an optimized algorithm for detecting communities in complex networks. We apply the radial basis functions to the corresponding similarity...
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Mesh-free Solution of ADR Equations: A Comparison Between the Application of Hybrid and Standard Radial Basis Functions
Three types of radial basis functions comprising two standard radial basis functions (RBF) and a hybrid Gaussian-cubic (HGC) kernel have been adopted...
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Stress-based topology optimization with the parameterized level-set method based on radial basis functions
Based on the parameterized level-set method using radial basis functions, a topology optimization method is proposed that can account for stress...
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Radial Basis Reproducing Kernel Particle Method for Damped Elastic Dynamics Problems
The reproducing kernel particle method (RKPM) is a widely used meshless method that has been extensively applied in numerical analysis. The drawback...
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An optimized radial basis function neural network with modulation-window activation function
It is a crucial basis to improve the performance of neural network by constructing an appropriate activation function. This paper proposes a novel...
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Optimal trajectory generation method to find a smooth robot joint trajectory based on multiquadric radial basis functions
A new technique to generate smooth motion trajectories for robot manipulators using multiquadric radial basis functions (MQ-RBFs) is presented in...
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Radial Basis Function Method for Linearization of Thermocouple Data: An Efficient and Accurate Approach
This research paper proposes a novel approach for the linearization of non-linear thermocouple data using the radial basis function (RBF) method. The...
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Damage detection in cracked structure rotating under the fluid medium through radial basis function neural network technique
Fault identification in a structure using the vibration characteristics is a quiet smart technique for health monitoring of the structure. In this...
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Influences of radial basis function approach on flexural analysis of laminated plate embedded on elastic medium foundation subjected to transverse load used in industries
The present study developed the radial basis functions based meshless collocation technique (RBFMCT) using higher order shear deformation theory...
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A new interval perturbation method for static structural response bounds using radial basis neural network differentiation
The interval perturbation method is an effective and successful tool in the uncertainty analysis; however, it suffers from the deficiency in the...
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A coupled meshless element-free Galerkin and radial basis functions method for level set-based topology optimization
This paper presents a meshless element-free Galerkin method coupled with the radial basis functions (RBFs)-based level set algorithm for topology...
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Radial Basis Neural Network Trained Minimum Snap Trajectory for Quadrotor
This paper proposes radial basis neural network trained minimum snap trajectory for quadrotor unmanned aerial vehicle. The quadrotor is intended to...
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Solving of Inverse Coefficient Problems on Networks of Radial Basis Functions
The prospects of using radial basis function networks as physics-informed neural networks for solving direct and inverse boundary value problems...
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Application of Local Integrated Radial Basis Function Method for Solving System of Fredholm Integro-Differential Equations
This paper thoroughly examines the Local Integrated Radial Basis Function (LIRBF) method’s performance in addressing linear systems and first- to...
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Neo-Fuzzy Radial-Basis Function Neural Network and Its Combined Learning
The Neo-Fuzzy Radial Basis Function Stacking Neural Network (NF-RBFNN) is a proposed hybrid neural network system that combines traditional RBFNN and...
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Development of a radial basis neural network for the prediction of the compressive strength of high-performance concrete
Concrete is a crucial component in construction projects, and engineers have been striving to improve its performance. Estimating the compressive...
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Solving Partial Differential Equations on Radial Basis Functions Networks and on Fully Connected Deep Neural Networks
Physics-informed neural networks learn not by example, but by checking physical patterns in a limited set of sampling points. Fully connected deep...
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A Novel Radial Kernel Watershed Basis Segmentation Algorithm for Color Image Segmentation
Human vision cannot analyze the huge amount of information hidden in color images. Thus, amongst the research being developed currently, Color Image...
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The implementation of a regularized radial basis function model for predicting California bearing capacity
The characterization of soil resistance properties is of paramount importance in the realm of pavement design. Indices such as dynamic modulus,...
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28-day compressive strength prediction utilizing a radial basis function model incorporating meta-heuristic algorithms
The construction industry's swift manufacturing of building materials has played a pivotal role in environmental degradation worldwide. Researchers...
