I have problem using the simulink block obtained from LSTM trained network. The following is the error. number of inputs to be used is 2 and number of ouputs is 1

Error:Layer "sequenceinput": Invalid input data. Invalid size of channel dimension. Layer expects input with channel dimension size 2 but received input with size 1.

Function 'Subsystem/Stateful Predict/MLFB' (#218.166.365), line 5, column 19:

"deep.blocks.internal.sequenceNetworkPredict({in_1}, {size(in_1)}, {class(in_1)},"

Errors occurred during parsing of 'neural_network_deep/Subsystem/Stateful Predict/MLFB'.

Component:MATLAB Function | Category:Coder error

Simulink unable to determine sizes and/or types of the outputs for block 'neural_network_deep/Subsystem/Stateful Predict/MLFB' due to errors in the block body, or limitations of the underlying analysis. The errors might be inaccurate. Fix the indicated errors, or explicitly specify sizes and/or types for all block outputs.

Component:MATLAB Function | Category:Coder error

Simulink unable to determine sizes and/or types of the outputs for block 'neural_network_deep/Subsystem/Stateful Predict/MLFB' due to errors in the block body, or limitations of the underlying analysis. The errors might be inaccurate. Fix the indicated errors, or explicitly specify sizes and/or types for all block outputs.

Component:Simulink | Category:Model error

Error in port widths or dimensions. 'Output Port 1' of 'neural_network_deep/Subsystem/Stateful Predict/MLFB/in_1' is a one dimensional

[Malay Agarwal]

Hi @Sowmya,

This could be due to how the Inport connected to the block is configured. Could you share your model and any related files?

[Sowmya]

Hi, thanks for the reply.

i have used the below program to train the network using LSTM.

xtrain=xlsread("train_elm.xlsx",1,'A1:B12000')';
ytrain=xlsread("train_elm.xlsx",1,'C1:C12000')';
xtest=xlsread("test_elm.xlsx",1,'A1:B3000')';
ytest=xlsread("test_elm.xlsx",1,'C1:C3000')';

ip_size=[1 2];
responses=[1];
numHiddenUnits=100;
numFeatures = numel(ip_size);
numResponses = numel(responses);
layers=[sequenceInputLayer(numFeatures)
    flattenLayer
    lstmLayer(numHiddenUnits)
    flattenLayer
    fullyConnectedLayer(numResponses)
    regressionLayer];
opts=trainingOptions("adam",...
    MaxEpochs=1000, ...
    GradientThreshold=0.01, ...
    InitialLearnRate=0.0001);
net=trainNetwork(xtrain,ytrain,layers,opts);

yperd1=predict(net,xtest)
figure
plot(yperd1,'r--','LineWidth',1)
hold on
plot(ytest,'g-*','LineWidth',1)
hold all
xlabel('sample')
ylabel('values')
grid on
legend('predicted','original')
title('performance')

deepNetworkDesigner(net)

[Sowmya]

The network obtained is used in the above model.

This produces errorError:Layer "sequenceinput": Invalid input data. Invalid size of channel dimension. Layer expects input with channel dimension size 2 but received input with size 1.

Function 'Subsystem/Stateful Predict/MLFB' (#205.166.369), line 5, column 19:

"deep.blocks.internal.sequenceNetworkPredict({in_1}, {size(in_1)}, {class(in_1)},"

Launch diagnostic report.

[Malay Agarwal]

Please share the Simulink model as an attachment along with the training data (Excel files).