Hello, I am a master's student studying in Yonsei Univeristy, Korea.
I am trying to estimate the state of satellite, using Neural Network.
Below is a simple flow of my study.
1. Train (t0 ~ t1)
Train neural network using known observation & true state data
2. Validation (t1 ~ t2)
Using observation data starting from t1, validate the network
3. Test (t3 ~ t4)
With new observation data, estimate the true ECI coordinate at different time.
[For all steps]
Input : observation data ( RADAR SEZ coordinate data or Orbital Element data )
Output : true data ( ECI coordinate data)
I know that the validation is already done while training,
but the validation part is for checking whether the network is well-trained.
I used "narxnet" from the deep learning toolbox, and it worked well until the validation part.
However, in order to use the network made with "narxnet" for the test part,
I had to retrain using data from just before.
(to estimate t3~t4, need tx ~ t3 data trained network)
So all my work have failed, and I am going to restart on doing this.
Here is what I want to ask.
Thank you very much for reading my questions.
Jee Hoon, Kim.