Coupling Efficiency Prediction Method of Optical Interconnect Module Based on Neural Network with Momentum Term

Abstract

The invention discloses an optical interconnect module coupling efficiency prediction method based on a neutral network with a momentum. The method comprises the steps that a finite element model of an optical interconnect module is established, the temperature-vibration load is applied, the influence factors which influence the optical interconnect module coupling efficiency are analyzed based on a single factor method, orthogonal experiments are conducted on the main factors which influence optical coupling so as to establish a plurality of experimental groups different in level, the experimental groups are subjected to simulation experiments, the optical interconnect module coupling efficiency is obtained, the neural network is trained by using the obtained multi-combination data as training samples, and the optical coupling efficiency can be accurately predicted by using the trained network. By means of the optical interconnect module coupling efficiency prediction method, the defects that a standard BP neutral network is slow in learning convergence, likely to become the local minimum and the like are avoided, it is achieved that the optical interconnect module coupling efficiency is efficiently and accurately predicted under the temperature-vibration combined load, and a scientific, effective and rapid means is provided for designing and manufacturing the high-coupling-efficiency and high-speed optical interconnect module in the practical engineering application.

Description

technical field [0001] The invention relates to the technical field of prediction of coupling efficiency of optical interconnection, in particular to a prediction method of coupling efficiency of optical interconnection modules based on a neural network with momentum term. Background technique [0002] Facing the data exchange requirements of large capacity, high speed and low energy consumption in the future, optical interconnection with the advantages of high bandwidth and low delay is a very promising interconnection method. However, optical coupling loss due to optical path alignment deviation is still one of the many difficulties and challenges faced by optical interconnection. In optical interconnection, to achieve optical communication, it is necessary to ensure that the signal with sufficient power reaches the detector. Therefore, it is of great significance to study the loss in the entire optical link process. One of the important indicators for judging the quality...

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Problems solved by technology

However, the standard BP neural network also has the disadvantages of slow learning convergence and easy to fall into local minimum.

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