基于决策树的GSM网络优化专家系统

Design and Implementation of GSM Network Optimization Expert System

针对GSM网络优化中存在的问题,采用C++技术设计实现了GSM网络优化专家系统。该系统运用决策树知识表示方法对评估现有网络性能、寻找缺陷源等经验性知识进行了集成表达,并针对缺陷源建立了基于专家经验的优化方案库,采用基于规则的模糊化混合推理策略,实现了数据集成、全网质量评估、自我学习、网络呈现、运行监控、性能预测等功能。经实践验证和专家评测,该系统不仅工作效率高,而且具有界面友好,操作简单实用,维护方便等优点。

In view of the existing problems of GSM network optimization, with C# technology, GSM network optimization expert system is established. With decision tree knowledge expression, this system collects the experience knowledge about assess existing network performance, finds defect and optimizes the source program based on expert knowledge, and with the fuzzy and mixed reasoning strategy based on rules, achieves the functions of data integration, network-wide quality assessment, self-learning, network presentation, monitoring and performance prediction. This efficient system also provides a user-friendly interface, a simple and intuitive operation and an easy maintenance.