Abstract:
Time series analysis is a significant
undertaking in time series data mining and has pulled
in extraordinary interests and huge endeavours
during the most recent decades. However, data
handling is a prior task in time series data. The main
objective of time series analysis is to get intuition of
the data. In recent years, AI models come with some
enormous results in time series analysis. The
motivation of this study is to determine a suitable
artificial intelligence-based model for time-series
related analysis. In this comparative analysis, authors
utilize a publically accessible dataset to conduct the
research. Author utilizes Long Short Term Memory
(LSTM) model along with Feed Forward Neural
Network (FNN), Time lagged Neural Network
(TLNN) and Seasonal Artificial Neural Network
(SANN) to compare the performance. However, some
extensively used performance matrices such as Mean
Squared Error (MSE), Mean Absolute Error (MAE)
and Root Mean Squared Error (RMSE) utilizes the
evaluate all the models.
