移动通信可控关联大数据动态预测模型

Yu Wang
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引用次数: 0

摘要

目前,中国有很多移动通信设备。为了提高移动通信预测效果,实现预测系统的可扩展性和动态演化性,提出了一种移动通信可控关联大数据动态预测模型。进行了应用实验,并对各种模型的实验结果进行了对比分析。实验结果表明,该模型充分集成了移动通信的开放性、可扩展性和大数据动态预测的优点。大数据环境下基于移动通信的可控关联大数据通信质量、总时长及定量定性预测为realizedÇ4bstract)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controllable Correlation Big Data Dynamic Prediction Model for Mobile Communication
At present, there were many mobile communication deviees in China. In order to improve the prediction effect of mobile communication and realize the scalability and dynamic evolution of the prediction system, a dynamic prediction model of controllable correlation big data for mobile communication was proposed. The application experiment was carried out, and the experimental results of various models were compared and analyzed. The experimental results showed that the model fully integrated the openness, extensibility and big data dynamic prediction advantages of mobile communication. The communication quality, total duration and quantitative qualitative prediction of con trollable correlation big data based on mobile communication in big data environment were realizedÇ4bstract).
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