Article
Random inverse packet information and its acquisition
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Abstract
Packet sets and inverse packet sets are two kinds of novel mathematical tools to analyze dynamic information systems. With advances in inverse packet sets, random inverse packet information is proposed by introducing random characteristics into inverse packet sets. Hence, random inverse packet information has dynamic and random characteristics, and is an extended form of inverse packet sets. Furthermore, random feature, dynamic feature, and identification relation about the random inverse packet information are discussed. Finally, based on the above theory, an instance is used to illustrate the applications of intelligent acquisition of investment information.
Keywords
inverse packet set, random inverse packet information, random and dynamic characteristics, F18996
Citation
Yu, X. & Xu, F. (2020). Random inverse packet information and its acquisition. Applied Mathematics and Nonlinear Sciences, 5(2). https://doi.org/10.2478/amns.2020.2.00042
X. Yu and F. Xu, “Random inverse packet information and its acquisition,” Applied Mathematics and Nonlinear Sciences, vol. 5, no. 2, 2020, doi: 10.2478/amns.2020.2.00042.
Yu X, Xu F. Random inverse packet information and its acquisition. Applied Mathematics and Nonlinear Sciences. 2020;5(2). doi:10.2478/amns.2020.2.00042.
Yu, X. and Xu, F. (2020), ‘Random inverse packet information and its acquisition’, Applied Mathematics and Nonlinear Sciences, 5(2). Available at: https://doi.org/10.2478/amns.2020.2.00042.
Yu, Xiuqing, and Fengsheng Xu. “Random Inverse Packet Information and Its Acquisition.” Applied Mathematics and Nonlinear Sciences, vol. 5, no. 2, 2020. https://doi.org/10.2478/amns.2020.2.00042.
Yu, Xiuqing, and Fengsheng Xu. “Random Inverse Packet Information and Its Acquisition.” Applied Mathematics and Nonlinear Sciences 5, no. 2 (2020). https://doi.org/10.2478/amns.2020.2.00042.
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- DOI: 10.2478/amns.2020.2.00042
- Type: article
- Source: Applied Mathematics and Nonlinear Sciences
- Published: 2020-07-01
- OpenAlex ID: W3097279197
Published by: Engineering Journals


