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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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 .
General Information
- Version 1.0.0 (3.92 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
