mohitram12 asked . 2021-06-14

Neural network fitting for PWM synthesis

While generating a neural network function for the given block

The following error occured .What is the reason behind this and how to debug it

net = network( ...
1, ... % numInputs, number of inputs,
2, ... % numLayers, number of layers
[1; 0], ... % biasConnect, numLayers-by-1 Boolean vector,
[1; 0], ... % inputConnect, numLayers-by-numInputs Boolean matrix,
[0 0; 1 0], ... % layerConnect, numLayers-by-numLayers Boolean matrix
[0 1] ... % outputConnect, 1-by-numLayers Boolean vector
);
>> view(net);
>> net.layers{1}.size=25;
>> net.layers{1}.transferFcn = 'logsig';
>> view(net);
>> net.layers{2}.size=3;
>> net.layers{2}.transferFcn = 'logsig';
>> view(net);
>> net.layers{3}.size=3;
Error using network/subsasgn>network_subsasgn (line 169)
Index exceeds the number of array elements (2).
Error in network/subsasgn (line 14)

deep learning , matlab , neural networks

Expert Answer

John Michell answered . 2024-12-22 04:10:29

According to your code:

net = network( ...
1, ... % numInputs, number of inputs,
2, ... % numLayers, number of layers
[1; 0], ... % biasConnect, numLayers-by-1 Boolean vector,
[1; 0], ... % inputConnect, numLayers-by-numInputs Boolean matrix,
[0 0; 1 0], ... % layerConnect, numLayers-by-numLayers Boolean matrix
[0 1] ... % outputConnect, 1-by-numLayers Boolean vector
);

The network has only 2 layers.

>> view(net)
>> net.layers

ans =

  2×1 cell array

    {1×1 nnetLayer}
    {1×1 nnetLayer}

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