Simple Neural Network with fully connected layers for regression analysis.


Updated 11 Oct 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.

Cite As

Alberto Comin (2023). NeurNetRegr (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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