Předvídání v časových řadách
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
This bachelor thesis focuses on exploring different methods and ways to predict data in the future using artificial intelligence, mainly utilizing Deep neural networks. This works focus is to highlight how different models can be used and how they interact with different datasets and showcase that there is not one definitive best in terms of models.
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Artificial intelligence, Prediction, Transformer, LSTM, TFT, ARIMA, Data Science, Analysis, Time Series, RNN, DNN