The Radial Basis Function (RBF) with LMS algorithm for Simulink

Versione 1.1.0.0 (113 KB) da Marcelo Fernandes

The Radial Basis Function (RBF) with LMS algorithm for Simulink.

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Aggiornato 16 apr 2012

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The Radial Basis Function (RBF)
Batch-mode training
Fixed centers selected at random
The Gaussian basis functions
Computing the output weights with LMS algorithm

Marcelo Augusto Costa Fernandes
DCA - CT - UFRN
mfernandes@dca.ufrn.br

Cita come

Marcelo Fernandes (2025). The Radial Basis Function (RBF) with LMS algorithm for Simulink (https://it.mathworks.com/matlabcentral/fileexchange/36163-the-radial-basis-function-rbf-with-lms-algorithm-for-simulink), MATLAB Central File Exchange. Recuperato novembre 4, 2025.

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Creato con R14

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AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >

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ANN_RBF_LMS.mdl

Versione	Pubblicato	Note della release
1.1.0.0	16 apr 2012	problem in the radial function calculation - resolved	Scarica
1.0.0.0	13 apr 2012		Scarica