Intelligent Optimization Framework for Future Communication Networks using Machine Learning

Author:

Saradhi Thommandru Vijaya,Suma T.,Odilya Teena Mary,Muthukrishnan Muthukrishnan,Thamaraikannan P,Manikandan S.

Abstract

Confronting the undeniably complicated versatile correspondence organization, knowledge is the advancement heading of organization versatile improvement innovation later on. Portable correspondence information is a significant part representing things to come data society. AI calculation is embraced in the versatile improvement plot, which can facilitate different enhancement goals as per the progressions of climate and state and understand the ideal boundary arrangement. Canny portable terminal hardware is turning out to be increasingly well known. The combination and advancement of social, portable and area administrations make the conventional informal organization easily change to versatile correspondence organization. AI is a part of man-made consciousness. Its examination objective is to construct a framework which can advance a few guidelines from information and apply them to the resulting information handling. In light of chart hypothesis, this paper tackles the issue of correspondence network information really, and concentrates on the calculation of huge information examination in view of AI

Publisher

Salud, Ciencia y Tecnologia

Reference24 articles.

1. Gu Xinyu. Research on Intelligent Optimization Technology of Future Mobile Communication Network. Information Communication Technology and Policy, 2018, 000(011): 20-25.

2. Ma Xiaoqin. Application of Machine Learning in Agricultural Internet of Things. Scientific Consulting, 2017, 000(036): 45-46.

3. Liu Sanwei. An application study based on machine learning and precise business recognition. Communication World, 2018, (7): 88-89.

4. Jiang Shaojun. Machine learning algorithms supported by big data. Computer Knowledge and Technology: Academic Exchange, 2018, 14(3): 164-165.

5. Chen Zhenzhen. Research on encrypted traffic type recognition based on DPI and machine learning. Information Communication, 2018, 184(04): 263-265.

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