How can be fitted a function in Neural Network that has a 100x9 input matrix and a 9x1 output matrix such that 100 samples can be read.

How can be fitted a function in a Neural Network GUI that has a 100x9 input matrix and a 9x1 output matrix such that 100 samples can be read. Thanks

Réponses (2)

The N I-dimensional input and O-dimensional output target examples have to be stored in matrices with dimensions
[ I N ] = size(inputs)
[ O N ] = size(targets)
Hope this helps.
Thank you for formally accepting my answer
Greg

1 commentaire

Sorry for the question. I edit it in another way. Hope to be understood. In Neural Network Fitting Tool (nftool) I need to present a 9x100 matrix, representing static data: 100 samples of 9 elements and the target data representing a desired output is a 1x9 static data: 1 samples of 9 elements. I need to present it as matrix row, but the tool gives an error message. “Data selections have different numbers of samples. Select column orientation?”
Then I present the same data but in another way (as matrix column) then I get the same error message “Data selections have different numbers of samples. Select column orientation?” </matlabcentral/answers/uploaded_files/4428/nftool.PNG> How can manage that situation to get exactly an input of 100 samples of 9 elements and an output of 1 sample of 9 elements. Thanks…yaguaso@gmail.com

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Sorry for the question. I edit it in another way. Hope to be understood. In Neural Network Fitting Tool (nftool) I need to present a 9x100 matrix, representing static data: 100 samples of 9 elements and the target data representing a desired output is a 1x9 static data: 1 samples of 9 elements. I need to present it as matrix row, but the tool gives an error message. “Data selections have different numbers of samples. Select column orientation?”
Then I present the same data but in another way (as matrix column) then I get the same error message “Data selections have different numbers of samples. Select column orientation?”
How can manage that situation to get exactly an input of 100 samples of 9 elements and an output of 1 sample of 9 elements. Thanks…yaguaso@gmail.com

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