Paraconsistent Neural Network (PNN)

This code is used to compare the PNN and ANN. 4 neurons are used, 3 in the hidden layer. All neurons with same activated function.
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Updated 7 Jun 2023

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This code is used to compare the PAL2v activation function against log-sigmoid, tanh, ReLU (retifier linear) and L-ReLU (leaky ReLU).
All neural networks are created considering 3 neurons in the hidden layer and 1 neuron at output layer. All neurons with the same activation function.
The neural network has 2 inputs and 1 output.
The weights and learning rate are the same for all neural networks.

Cite As

Arnaldo Carvalho (2026). Paraconsistent Neural Network (PNN) (https://www.mathworks.com/matlabcentral/fileexchange/130739-paraconsistent-neural-network-pnn), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Version Published Release Notes
1.0.0