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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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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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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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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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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...
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Radial Basis Function Neural Network Based Fast Directional Modulation Design
For directional modulation (DM) based on antenna arrays, the associated weight coefficients are normally calculated by some traditional optimisation...
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Radial basis function networks-based resource-aware offloading video analytics in mobile edge computing
With the advancement of wireless networks, many mobile applications are becoming increasingly popular. These applications, which include real-time...
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Radial basis function network based PV and wind system using maximum power point tracking
This paper presents the MPPT algorithm for the proposed hybrid energy system, i.e., PV and wind systems, and is tested for grid-connected and...
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Radial basis function neural network-based algorithm unfolding for energy-aware resource allocation in wireless networks
Significant advances in high-bandwidth applications and rising power consumption have highlighted the need for energy-efficient design solutions in...
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Solution of space–time fractional diffusion equation involving fractional Laplacian with a local radial basis function approximation
Radial basis function-based finite difference (RBF-FD) schemes generalize finite difference methods, providing flexibility in node distribution as...
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Emergency Steering Modelling of Vehicles via Ensemble Radial Basis Function Neural Network(RBFNN)
Road traffic injuries from rear-end collisions are one of the leading causes of death from vehicular collisions. An accurate driver model must be...
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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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Radial basis function neural network with extreme learning machine algorithm for solving ordinary differential equations
We present a novel numerical method for solving ordinary differential equations using radial basis function (RBF) network with extreme learning...
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Three-dimensional time-resolved Lagrangian flow field reconstruction based on constrained least squares and stable radial basis function
The three-dimensional time-resolved Lagrangian particle tracking (3D TR-LPT) technique has recently advanced flow diagnostics by providing high...
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Using the meta-heuristic algorithms to optimize the radial basis function for predicting high-performance concrete compressive strength and slump flow
Concrete serves as a crucial foundational material in construction. While traditional concrete is commonly employed for standard building projects,...
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A new radial basis function active learning method based on distance constraint for structural reliability analysis
Strongly nonlinear structural systems exhibit high computational errors when dependability is calculated using conventional approaches such as the...
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A radial-basis function mesh morphing and Bayesian optimization framework for vehicle crashworthiness design
The vehicular structural system design is critical to protect passengers from fatal injuries in inevitable accidents. Traditional optimization...
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Advance Fuzzy Radial Basis Function Neural Network
Shetty, Balaji S. Mahindrakar, Manisha S. Kulkarni, U. V.Data mining discovers meaningful knowledge attributes from provided dataset and further...
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Unbounded Fuzzy Radial Basis Function Neural Network Classifier
Shetty, Balaji S. Mahindrakar, Manisha S. Kulkarni, U. V.Area of pattern recognition deals with the recognition of patterns by using different...