How to improve the accuracy of LSTM network?
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Hello everyone, I hope you're fine and safe
I am working on forecasting time-series data using LSTM network, but the forecasting of the test data seems very inaccurate.
Kindly find the attached code with the dataset.
Any suggestions to improve the accuracy please?
Another question is how can I modify this code to forecast a variable based on multible variables (i.e., Multivariate Multi-Step LSTM Models; Multiple Input Multi-Step Output)?
Thanks in advance,
![comparison](https://www.mathworks.com/matlabcentral/answers/uploaded_files/289986/comparison.png)
![test_prediction](https://www.mathworks.com/matlabcentral/answers/uploaded_files/289987/test_prediction.png)
![forecasting](https://www.mathworks.com/matlabcentral/answers/uploaded_files/289988/forecasting.png)
3 Commenti
Bhavick Singh
il 18 Nov 2021
Hi Mohammed, Im having the same problem as well. Were you able to find the solution?
Risposte (2)
Madderla Chiranjeevi
il 17 Gen 2022
Hi sirs, I am also strucking here, please help me in this regard if you solved this problem.you can mail me also over chiru.madderla@gmail.com
I am so thankful for you for this
0 Commenti
yanqi liu
il 18 Feb 2022
yes,sir,may be use bilstmLayer to replace lstmLayer,and not use predictAndUpdateState during test
set randperm to shuffle data before make numTimeStepsTrain to split data
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