I am researching random number generation techniques, and would like to find a neural network or other machine learning software, that is able to track the sequences that my software generates, in such a fashion that after accepting some number of symbols from a sequence, is thereafter able to predict the next sequence from my generator. Might you have access to such software, or might you know of another researcher who works in this area? If so, please, help me to gain access to such quality neural network or machine learning software. Thank you.
Dear
William
I suggest Hidden Markov Model for your problem. You can apply viterbi algorithm for your case.
I hope, it can help you.
Regards
Toto
If you are familiar with Python, many ML libraries such as PyTorch or Keras offer easy access to Long Short Term Memory Recurrent Neural Networks (LSTM-RNN). These LSTMs have proven to be effective in performing time series analysis and prediction. Also, you may want to search Github for some existing implementations. Good luck!
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