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Publications by Mercedes Fernández-Redondo
An Experimental Study on Training Radial Basis Functions by Gradient Descent
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
The Mixture of Neural Networks as Ensemble Combiner
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
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Spectrum Cartography Using Adaptive Radial Basis Functions: Experimental Validation
Rapid Evaluation of Radial Basis Functions
Journal of Computational and Applied Mathematics
Computational Mathematics
Applied Mathematics
An Extension of Positivity for Integrals of Bessel Functions and Buhmann’s Radial Basis Functions
Proceedings of the American Mathematical Society, Series B
An Efficient Approach Based on Radial Basis Functions for Solving Stochastic Fractional Differential Equations
Mathematical Sciences
Compact Approximation Stencils Based on Integrated Flat Radial Basis Functions
Engineering Analysis with Boundary Elements
Computational Mathematics
Engineering
Applied Mathematics
Analysis
Meshless Galerkin Methods Using Radial Basis Functions
Mathematics of Computation
Computational Mathematics
Applied Mathematics
Number Theory
Algebra
Boosters: A Derivative-Free Algorithm Based on Radial Basis Functions
International Journal of Modelling and Simulation
Mechanics of Materials
Electronic Engineering
Industrial
Manufacturing Engineering
Simulation
Hardware
Electrical
Architecture
Modeling
Software
The General Inefficiency of Batch Training for Gradient Descent Learning
Neural Networks
Artificial Intelligence
Cognitive Neuroscience
A Study on the Stress Gradient Reconstruction in Finite Elements Problems With Application of Radial Basis Function Networks
Meccanica
Mechanics of Materials
Condensed Matter Physics
Mechanical Engineering
