针对通信网络传输流量调度的难题,创新性地提出结合软件定义网络(Software Defined Network,SDN)与机器学习算法的调度方案,借助SDN控制器的强大功能,全面采集了网络数据层的关键信息。利用先进的机器学习算法,深入分析这些数据,准确预...
详细信息
针对通信网络传输流量调度的难题,创新性地提出结合软件定义网络(Software Defined Network,SDN)与机器学习算法的调度方案,借助SDN控制器的强大功能,全面采集了网络数据层的关键信息。利用先进的机器学习算法,深入分析这些数据,准确预测了未来的网络流量走势。基于这些精准的预测结果,制定了细致入微的流量调度策略,从而实现了网络流量的动态优化和高效管理。实验数据充分证明,与传统方法相比,所提出的方法在降低网络丢包率、提升资源利用率及传输性能等方面均表现出显著优势。这一创新成果不仅有效增强了网络流量的稳定性和规律性,还为通信网络传输流量调度领域开辟了新的研究路径。
随着数字化时代的来临,人工智能(AI)技术迅速发展并在各个领域产生了深远影响。首先剖析课程教学现状,指出在教学内容、方法、评价及师资等方面存在不足的情况。随后阐述改革思路与目标,包含构建知识图谱矩阵、训练大模型等多维度举措,以培养拔尖创新人才。重点介绍了AI赋能的教学改革策略,涵盖构建三位一体课程体系、创新混合式教学模式、多元化考核、个性化教学服务、师资建设及教学资源建设等内容。通过利用AI技术优化教学各环节,旨在提升教学效果,增强学生创业思维与实践能力,使课程更好适应数字化创业环境,为高校相关课程教学改革提供参考借鉴。With the advent of the digital era, Artificial Intelligence (AI) technology has developed rapidly and had a profound impact in various fields. Firstly, the current situation of course teaching is analyzed, pointing out the deficiencies in teaching content, methods, evaluation and teachers. Subsequently, it elaborates on the reform ideas and goals, including multi-dimensional initiatives such as constructing a knowledge graph matrix and training large models, in order to cultivate top-notch innovative talents. It focuses on the AI-enabled teaching reform strategy, covering the construction of a three-in-one curriculum system, innovative hybrid teaching mode, diversified assessment, personalized teaching services, faculty construction and teaching resources construction. By using AI technology to optimize all aspects of teaching, it aims to improve teaching effect, enhance students’ entrepreneurial thinking and practical ability, better adapt the curriculum to the digital entrepreneurial environment, and provide reference for the teaching reform of related courses in colleges and universities.
暂无评论