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基于随机森林算法模型的干扰预测

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摘要 本文采用基于随机森林算法模型的LTE网络干扰预测系统,批量快速识别、预测网络干扰类型,提取有效的干扰数据作为模型的输入、干扰类型作为输出,通过学习训练构建出稳定可靠的随机森林模型,并对模型的预测过程进行改进,使得模型不仅能识别单干扰类型,而且能识别复合干扰类型,从而更具普遍性,以提高LTE干扰优化、排查工作效率与准确性。
作者 李言兵
出处 《山东通信技术》 2017年第4期22-23,27,共3页 Shandong Communication Technology
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