ANN

versión 1.0.0.0 (145 KB) por Giampiero Campa
Adaptive Neural Networks

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Actualizada 14 Feb 2008

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The adaptive Neural Network Library (Matlab 5.3.1 and later) is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.

It was developed mainly in June-July 2001 by Giampiero Campa (West Virginia University) and Mario Luca Fravolini (Perugia University). Later improvements were partially supported by the NASA Grant NCC5-685.

There are blocks that implement basically these kinds of neural networks:

Adaptive Linear Networks (ADALINE)

Multilayer Layer Perceptron Networks

Generalized Radial Basis Functions Networks

Dynamic Cell Structure (DCS) Networks with gaussian or conical basis functions

Also, a Simulink example regarding the approximation of a scalar nonlinear function is included.

Finally, the file Training.zip includes step by step instrucions on how to train the GRBF network and the supporting example.

Citar como

Giampiero Campa (2022). ANN (https://www.mathworks.com/matlabcentral/fileexchange/976-ann), MATLAB Central File Exchange. Recuperado .

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Se creó con R11.1
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