1) Alpaydin, Ethem (2020). Introduction to Machine Learning.: The
MIT Press. ISBN 978-0-262-01243-0. London, U.K.
2)Arminger , G. and D. Enache (1995) Statistical Models and
Artificial Neural Networks , Proceedings of the 19th annual
conference of the Gesellschaft fur classification e.V., University
of Basel , March 8-10 , 1995,H.-H. Bock .W.Polasek Editors ,
Springers , Germany.
3)Bishop, C. M. (2006), Pattern Recognition and Machine Learning,
Springer, ISBN 978-0-387-31073-2
4) Box, G. E. P., G. M. Jenkins, and G. C. Reinsel(2016) Time Series
Analysis Forecasting and Control, 5th Edition, John Wiley &
Sons, Hoboken, New Jersey, U.S.A.
5) Bzdok, Danilo; Altman, Naomi; Krzywinski, Martin (2018).
"Statistics versus Machine Learning". Nature Methods. 15 (4):
233–234. doi:10.1038/nmeth.4642. PMC 6082636.
PMID 30100822.
6) Choi, B (1992) ARMA Models Identification , Springer-Verlag,
New York, U.S.A.
7) Fausett , Laurane (1994) Fundamentals of neural networks:
architectures, algorithms, and applications.
8)James, G., D. Witten , T. Hastie and R. Tibshirani (2013) An
Introduction to Statistical Learning with Applications in R
,Springer-Verlag New York.
9) Lénárt, B. (2011) “Automatic identification of ARIMA models
with neural network”, Periodica Polytechnica Transportation
Engineering, 39(1), pp. 39-42.
10) Pankratz, A. (1983) Forecasting with Univariate Box-Jenkins
Models. Wiley & Sons, Inc., New York.
11) Stadnytska, T., S. Braun, and J. Werner (2008) Model
Identification of Integrated ARMA Processes, Multivariate
Behavioral Research 43(1):1-28 , Taylor & Francis Group, LLC
ISSN: 0027-3171 ,Germany.
12) Tran N, Reed D A(2004) Automatic ARIMA Time Series
Modeling for Adaptive , I/O Prefetching, IEEE Transactions on
parallel and distributed systems 15 (February 2004),no. 2.