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.
引用格式
arnaldo carvalho (2023). paraconsistent neural network (pnn) (https://www.mathworks.com/matlabcentral/fileexchange/130739-paraconsistent-neural-network-pnn), matlab central file exchange. 检索来源 .
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