Hidden Markov model implementation

2019 11 24
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Hello,
I am trying to implement a Hidden Markov Model for predicting the state of health of battery.
The observation symbols is an array of real numbers and hidden states is an array of integers from 1 to 5.
The data I have is a 2*n matrix consisting of hidden states for n observation symbols.
When I used hmmtrain function in Matlab, the parameters are not learnt as expected.
I set the initial values for emissions, transition and initial state matrix randomly.
I couldn't figure out, what has to be done! Do you have some advice on what might be the problem is?

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AKASH BASIA
AKASH BASIA
2019-11-24

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