Data compression methods based on Neural Networks

Author:

Berezkin Aleksandr1,Slepnev Alexey2,Kirichek Ruslan2,Kukunin Dmitry1,Matveev Daniil2

Affiliation:

1. Communication Networks and Data Transmission, Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Russia

2. Software Engineering and Computer Science, Bonch-Bruevich Saint-Petersburg State University of Telecommunications, Russia

Funder

Council on grants of the President of the Russian Federation

Publisher

ACM

Reference23 articles.

1. [ 1 ] A. Koucheryavy , A. Vladyko , R. Kirichek , ”State of the art and research challenges for public flying ubiquitous sensor networks”, Internet of Things, Smart Spaces, and Next Generation Networks and Systems , 2015 , pp. 299 - 308 . [1] A. Koucheryavy, A. Vladyko, R. Kirichek, ”State of the art and research challenges for public flying ubiquitous sensor networks”, Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2015, pp. 299-308.

2. Future Networks 2030: Architecture & Requirements

3. Advances in Data Analysis with Computational Intelligence Methods

4. [ 4 ] H. Adeli , S. Hung , Machine Learning: Neural Networks , Genetic Algorithms, and Fuzzy Systems , 1 rd ed., New Jersey : Wiley , ISBN: 978-0471016335, 1994 . [4] H. Adeli, S. Hung, Machine Learning: Neural Networks, Genetic Algorithms, and Fuzzy Systems, 1rd ed., New Jersey: Wiley, ISBN: 978-0471016335, 1994.

5. [ 5 ] S. Haykin , Neural Networks: A Comprehensive Foundation , New York : Macmillan College Publishing Company , ISBN: 978-0132733502, 1994 . [5] S. Haykin, Neural Networks: A Comprehensive Foundation, New York: Macmillan College Publishing Company, ISBN: 978-0132733502, 1994.

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2. Neural Network Coding in Data Compression Systems in Communication Channels;2022 International Conference on Information, Control, and Communication Technologies (ICCT);2022-10-03

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