知识+数据驱动学习：未来网络智能的基础
发布时间：2020-07-31
作者：朱近康
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知识+数据驱动学习：未来网络智能的基础
朱近康
（中国科学技术大学，中国 合肥 230027）
摘要：讨论了未来网络智能的核心问题和学习能力，提议采用知识+数据驱动学习模型作为未来网络智能的基础。论述了学习模型中的知识驱动和数据驱动及反向传播判决，以及利用该模型实现未来网络的智能管控方法。
关键词：未来智能网络；知识+数据驱动学习模型；智能管控
Knowledge-and-Data Driven Learning: Foundation of Future Network Intelligence
ZHU Jinkang
（University of Science and Technology of China, Hefei 230027, China）
Abstract: With the discussion of the core issues and the learning capabilities of future network intelligence, it is proposed to use the knowledge-and-data driven learning model as the basis of future network intelligence. The knowledge-driven learning, data-driven learning and back-propagation decision in the learning model are introduced, and the intelligent management and control methods for future networks are given.
Keywords: future intelligent network; knowledge-and-data driven learning model; intelligent management and control
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