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Title:
UPDATING METHOD AND SYSTEM FOR OPTICAL PERFORMANCE DEGRADATION TREND PREDICTION
Document Type and Number:
WIPO Patent Application WO/2021/017363
Kind Code:
A1
Abstract:
An updating method and system for optical performance degradation trend prediction. The present invention relates to the field of optical communications. The method comprises the steps of: constructing a neural network for predicting an optical performance degradation trend on the basis of an original key performance index; and extracting a new key performance index from added optical performance indexes, obtaining a correlation coefficient by calculating a covariance between the new key performance index and the original key performance index, and selecting the new key performance index of which the correlation coefficient is less than or equal to an influence degree threshold as all or part of samples to update the neural network. According to the present invention, when the optical performance indexes are increased, new key performance indexes are obtained from the optical performance indexes and serve as samples to update the neural network for predicting optical performance degradation, the optical performance degradation trend is continuously perfected, and the prediction accuracy is improved.

Inventors:
KUANG LIWEI (CN)
FAN ZHIWEN (CN)
Application Number:
PCT/CN2019/124184
Publication Date:
February 04, 2021
Filing Date:
December 10, 2019
Export Citation:
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Assignee:
FIBERHOME TELECOMMUNICATION TECH CO LTD (CN)
International Classes:
G06N3/02; G06Q10/04; G06N3/08
Domestic Patent References:
WO2018104039A12018-06-14
Foreign References:
CN103745273A2014-04-23
CN103020455A2013-04-03
CN102025531A2011-04-20
CN106056127A2016-10-26
Other References:
CAO, ZHENGCAI ET AL.: "Simultaneous Prediction for Multiple Key Performance Indicators in Semiconductor Wafer Fabrication;", CHINESE JOURNAL OF ELECTRONICS;, vol. 25, no. 6, 30 November 2016 (2016-11-30), XP006072202, DOI: 20200420154725A
Attorney, Agent or Firm:
WUHAN ZHIQUAN PATENT AGENT, LLP. (CN)
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