Error in running one-dimensional CNN regression model

Question

Marvin 2023-5-17

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1966154-error-in-running-one-dimensional-cnn-regression-model

回答： Prasannavenkatesh 2023-6-18

Hi,

I'm new to training a CNN regression model, and I need to build one to predict temperature time series data using climate proxy data.

I'm not sure what are functions of various layers, so I'm building a simple CNN model first.

For example, I've temperature time series of length 100 (Y_train=100x1 double) and 45 climate proxy data (X_train=45x100 double), so the input feature number is 45.

I've set my CNN model architecture as follows:

function y_pred = cnn(X_train, X_val, Y_train)
    layers = [sequenceInputLayer(45,'MinLength',100)    
        convolution1dLayer(2,10)    
        reluLayer
        maxPooling1dLayer(2,'Stride',2)
        reluLayer
        fullyConnectedLayer(1)
        reluLayer
        regressionLayer];
    
    options = trainingOptions('sgdm', ...
        MaxEpochs=500, ...
        Verbose=false, ...
        Plots='none');
    net = trainNetwork(X_train, Y_train, layers, options);
    y_pred = predict(net, X_val);
end

When I ran the code, it produces this error message:

I'm unsure where I've done wrong.

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Answer 1

Prasannavenkatesh 2023-6-18

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1966154-error-in-running-one-dimensional-cnn-regression-model#answer_1258139

Hi Marvin,

To solve the error of incompatible input and output sequence lengths, you can try replacing the first layer, i.e, the sequence input layer to sequenceInputLayer(45,'MinLength',1). Hope this solves your problem.