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Optical fiber state prediction method based on improved firefly algorithm to optimize neural network

A firefly algorithm and neural network technology, applied in the field of optical fiber line state prediction, can solve problems such as failure avoidance, line state trend analysis and prediction, etc., achieve good prediction accuracy and stability, overcome blindness and limitations, and quickly The effect of calculation convergence speed

Active Publication Date: 2020-04-17
国网吉林省电力有限公司信息通信公司 +1
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Problems solved by technology

[0004] In order to solve the problem that the existing technology cannot realize the analysis and prediction of the line state trend, and then cannot avoid the impending failure, etc., the present invention provides a method for the state prediction of the optical fiber line based on the improved firefly algorithm to optimize the Elman neural network

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  • Optical fiber state prediction method based on improved firefly algorithm to optimize neural network
  • Optical fiber state prediction method based on improved firefly algorithm to optimize neural network
  • Optical fiber state prediction method based on improved firefly algorithm to optimize neural network

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specific Embodiment approach 1

[0037] Specific implementation mode 1. Combination Figure 1 to Figure 3 Illustrate the present embodiment, optimize the method for the optical fiber line state prediction of Elman neural network based on the improved firefly algorithm, this method is realized by the following steps:

[0038] Step 1. Construct sample data;

[0039] Since the optical power data is a time series data with nonlinearity, time variation and complexity, in order to improve the prediction accuracy, this embodiment adopts the Elman neural network model for prediction, and uses the original optical power data obtained by monitoring to predict the Elman The neural network is trained multiple times, and a part of the optical power data is used as the test sample of the Elman neural network, so that the Elman neural network prediction model can finally output the ideal prediction value.

[0040] Specifically:

[0041] Set the known time series data as x=(x 1 ,x 2 ,...,x r ), and divide it into an inp...

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Abstract

The invention discloses an optical fiber state prediction method for optimizing a neural network based on an improved firefly algorithm, relates to the technical field of optical fiber line state prediction, and solves problems that the prior art cannot achieve the analysis and prediction of the tendency of the state of a line, and cannot avoid the possible faults. The method carries out the optimization of parameters in an Elman neural network prediction model through employing the improved firefly algorithm, accurately predicts the future state tendency of the line, predicts the possible faults of the line, forms a maintenance strategy in advance, avoids the faults, and meets the requirements of uninterrupted transmission of optical fiber communication. The method carries out the optimization of parameters of the Elman neural network prediction model through employing the improved firefly algorithm, enables the model to have good prediction precision and stability, solves a problem that a conventional Elman neural network is liable to be caught in conditions of local optimization and slow convergence speed, and achieves the better prediction of the state of light.

Description

technical field [0001] The invention relates to the technical field of optical fiber line state prediction, in particular to a method for optical fiber line state prediction based on an improved firefly algorithm to optimize Elman neural network. Background technique [0002] In order to meet the needs of efficient, fast and reliable transmission of information in power systems, optical fiber communication networks have been widely used as backbone networks. Therefore, once the optical fiber line fails, the communication interruption caused will bring huge economic losses to enterprises and users. Since faults on optical fiber lines are inevitable, it is of great significance to predict possible optical fiber faults based on the status of existing optical fiber lines, and to do maintenance and management in advance, thereby avoiding faults and ensuring normal communication. [0003] Optical power data can fully characterize the working state of optical fiber lines, and is a...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06N3/00G06N3/08
CPCG06N3/006G06N3/08G06Q10/04
Inventor 隋吉生赵亮朱立军王圣达陈晓娟姜万昌徐梦丛犁陈鹤张松王金宇
Owner 国网吉林省电力有限公司信息通信公司
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