https://github.com/himanshuvnm/generalized-gaussian-radial-basis-function-in-artificial-intelligence-matlab

This is the recent work of my on the importance and application of mathematical function around its Hilbert function theory on artificial intelligence algorithms. The main motivation was the desire of improving the convergence rate and learning rate of various learning algorithms via Generalized Gaussian Radial Basis Function.
https://github.com/himanshuvnm/generalized-gaussian-radial-basis-function-in-artificial-intelligence-matlab

activation-functions artificial-intelligence deep-learning deep-neural-networks gaussian-process-regression image-recognition kernel-regression machine-learning-algorithms neural-network reproducing-kernel-hilbert-space support-vector-machine

Last synced: 29 days ago
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This is the recent work of my on the importance and application of mathematical function around its Hilbert function theory on artificial intelligence algorithms. The main motivation was the desire of improving the convergence rate and learning rate of various learning algorithms via Generalized Gaussian Radial Basis Function.

• Host: GitHub
• URL: https://github.com/himanshuvnm/generalized-gaussian-radial-basis-function-in-artificial-intelligence-matlab
• Owner: himanshuvnm
• Created: 2024-03-10T10:54:32.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-03-13T13:27:08.000Z (11 months ago)
• Last Synced: 2024-11-06T17:38:50.834Z (3 months ago)
• Topics: activation-functions, artificial-intelligence, deep-learning, deep-neural-networks, gaussian-process-regression, image-recognition, kernel-regression, machine-learning-algorithms, neural-network, reproducing-kernel-hilbert-space, support-vector-machine
• Language: MATLAB
• Homepage: https://arxiv.org/pdf/2312.10693.pdf
• Size: 10.8 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
This repository is in correspondence with the recent research work on application of mathematical functions in the artificial intelligence in terms of improving respective learning rate and convergence rate.

The corresponding paper appeared in MDPI-Mathematics as a feature paper for my significant contribution in the field of machine learning and artificial intelligence. This paper can now be access on https://www.mdpi.com/2227-7390/12/6/829.