"沈阳网通固网智能化改造方案及业务分析"
版权申诉
153 浏览量
更新于2024-02-27
收藏 2.15MB PDF 举报
The document "人工智能-机器学习-沈阳网通固网智能化改造方案及重点业务分析.pdf" and "THE STUDY OF THE NETWORK INTELLIGENTIZATION OF SHENYANG CNC" focuses on the technical scheme of network intelligentization for Shenyang CNC, aiming to address the problems that have restricted the development of fixed network operators. The report provides a detailed analysis of the necessity, significance, and difficulties of executing network intelligentization in Shenyang CNC, followed by a specific scheme for the reconstruction.
The document emphasizes the importance of leveraging artificial intelligence and machine learning to transform the traditional fixed network infrastructure. It highlights the need for intelligentization to enhance the efficiency, reliability, and flexibility of the network to meet the growing demands of digital communication and data services.
The proposed scheme outlines the specific steps and technologies to be implemented in the intelligentization process, such as advanced network management systems, AI-powered predictive maintenance, and automated network optimization. It also addresses the impact of intelligentization on various key business operations, highlighting the potential benefits and challenges that may arise during the transformation.
Overall, the document provides a comprehensive analysis and technical blueprint for the intelligentization of Shenyang CNC, offering valuable insights for network operators and stakeholders involved in the modernization of fixed network infrastructure.
programyp
- 粉丝: 90
- 资源: 9323
最新资源
- Raspberry Pi OpenCL驱动程序安装与QEMU仿真指南
- Apache RocketMQ Go客户端:全面支持与消息处理功能
- WStage平台:无线传感器网络阶段数据交互技术
- 基于Java SpringBoot和微信小程序的ssm智能仓储系统开发
- CorrectMe项目:自动更正与建议API的开发与应用
- IdeaBiz请求处理程序JAVA:自动化API调用与令牌管理
- 墨西哥面包店研讨会:介绍关键业绩指标(KPI)与评估标准
- 2014年Android音乐播放器源码学习分享
- CleverRecyclerView扩展库:滑动效果与特性增强
- 利用Python和SURF特征识别斑点猫图像
- Wurpr开源PHP MySQL包装器:安全易用且高效
- Scratch少儿编程:Kanon妹系闹钟音效素材包
- 食品分享社交应用的开发教程与功能介绍
- Cookies by lfj.io: 浏览数据智能管理与同步工具
- 掌握SSH框架与SpringMVC Hibernate集成教程
- C语言实现FFT算法及互相关性能优化指南