Hello,
I have implemented the following simulink to generate a prediction using a trained neural network.
When I try to run the model, I receive the follwong error message:
'input4NN' is inferred as a variable-size matrix, but its size is specified as inherited or fixed. Verify 'input4NN' is defined in terms of non-tunable parameters, or select the 'Variable Size' check box and specify the upper bounds in the Size box.
The preprocessing of the data in the corresponding matlab function block looks as follows:
function [enablePrediction, input4NN] = fcn(IVT_Current, IVT_Voltage, maxTemp, minVoltage, SOClast)
data = [IVT_Current IVT_Voltage maxTemp minVoltage SOClast];
inputStream = [inputStream; data];
if size(inputStream, 1) >= IPlength
newestDataStream = inputStream((end-IPlength):end, :);
input4NN = [newestDataStream(:, 1); newestDataStream(:, 2); newestDataStream(:, 3); newestDataStream(:, 4); newestDataStream(:, 5)];
enablePrediction = false;
input4NN = zeros(1500, 1);
I have read some forum entries regarding the variable-size error, but I was able to resolve it that way.
I need an IP vector of (1500, 1) of non-variabel-size for the prediction block. So OP of the preprocessing function should also be (1500, 1). I already created a variabel "input4NN" that es stored inside the model workspace and specified the dimensions of (1500, 1) as fixed.
I'm thankful for any further ideas/help.
