NeurNetRegr

Versione 1.0.0 (7,61 KB) da Alberto Comin
Simple Neural Network with fully connected layers for regression analysis.
1.0
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Aggiornato 11 ott 2018

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Basic implementation of a neural network with fully connected layers (multi-layer perceptron) for regression analysis.
Currently it support an arbitrary number of layers, all with the same activation function ('tanh', 'sigmoid' or 'relu') and L2 regularization factor. It is possible to add activation functions using an internal dictionary. The activation function for the output layer is linear.

Cita come

Alberto Comin (2024). NeurNetRegr (https://www.mathworks.com/matlabcentral/fileexchange/69084-neurnetregr), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2018b
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Versione Pubblicato Note della release
1.0.0