摘要
为实现光纤线路未来状态趋势预测,提出基于自适应粒子群优化(APSO)的ARIMA-SVM光功率趋势预测法。利用小波变换对光功率数据进行预处理,设计APSO算法优化SVM模型参数,构建了优化后的ARIMA-SVM模型,实现了光功率趋势预测。
In order to realize the optical fiber line future trend forecasting, the paper proposes an optical power trend forecasting method with autoregressive integrated moving average （ARIMA）-support vector machine（SVM） based on adaptive particle swarm optimization（APSO）. The wavelet transform is used to preprocess the optical power data, then the APSO algorithm is designed to optimize the parameter of SVM, and the optimized ARIMA-SVM model is constructed and the optical power forecasting is utilized.
出处
《光通信技术》
北大核心
2015年第4期22-25,共4页
Optical Communication Technology
基金
国家自然科学基金(61271115)资助
