MATLAB: Evolving an Artificial Neural network without using backpropagation

artificial neural network

I am looking for a simple code to evolve an artificial neural network without using backpropagation. I want to evolve both the weights and the activation function. Thanking you in advance

Best Answer

If you wish to compare training functions, use a straight forward backprop e.g., fitnet or patternnet.

Thank you for accepting my answer

Greg

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MATLAB: How to train a feedfordward neural network with error weights

 Use the command window
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Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: How to create a neural network with 1 layer only (no hidden layers)

 net = fitnet([]);     % For regression
 net = patternnet([]); % For classification

Hope this helps.

Thank you for formally accepting my answer

Greg

Best Answer

Related Solutions

MATLAB: How to train a feedfordward neural network with error weights

MATLAB: How to create a neural network with 1 layer only (no hidden layers)

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