In conclusion, it predicts resource consumption and the trend of software aging. This paper makes an improvement of threshold de-noising method through data de-noising functions based on wavelet analysis.
本文围绕基于测量的软件抗衰策略，结合小波分析和神经网络方法对定期监测和收集到的系统性能参数进行分析，预测资源消耗和软件衰退的趋势。
参考来源 - 软件衰退预测算法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
Recent study shows that the phenomenon of software aging always exists in long-running communication software.
近来的研究表明，长时间运行的通信软件往往存在老化现象。
There are two basic strategies for software aging forecasting-strategy based on time-based and strategy based on measurement.
目前用于软件衰退预测有两种最基本的策略：基于时间的策略和基于测量的策略。
Through analyzing of the result of the experiment, we get more accurate value. This provides a strong basis for software aging forecasting.
实验结果表明，使用本文方法能更准确的预测参数数值，这为更准确的进行软件衰退预测提供了有力依据。
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