High-order polytomous Boltzmann machine and forecasting time series I
Ying Liu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997
We use the polytomous Boltzmann Machine for time series forecasting and prediction applications. We will simulate the polytomous Boltzmann Machine by using the binary Boltzmann Machine. We will show our software (1) can learn and predict the behavior of deterministic dynamic systems. Given enough training, the software can predict with 100% accuracy; (2) can learn and predict the behavior of the Markov chains (or probabilistic finite state machines). Given enough training, the software can predict with 100% accuracy.