Research on the Reliability Assessment Model of Ship Machinery Based on Improved Civic Evolution Algorithm
The current ship machinery reliability assessment model has low assessment accuracy and slow assessment speed,in order to solve the problem,the study proposes to use the back propagation algorithm to improve the evolution of thinking algorithm and construct the assessment model based on the improved algorithm.The results show that the accuracy of the improved algorithm is 97.8％and the average low error value is 1.1,and then the evaluation model based on the algorithm is experimented,and the results show that the accuracy of the model is 96.8％and the evaluation time is 1.2 s.From the above experimental results,we can see that the evaluation model constructed based on the improved thought evolution algorithm can not only increase the accuracy but also reduce the speed of the evaluation of ship machinery.The proposed evaluation model based on the improved evolutionary thinking algorithm can not only improve the evaluation accuracy,but also reduce the maintenance cost of the ship's machinery.This research not only improves the reliability of ship machinery,but also provides a theoretical basis for the reliability testing of manufacturing industry.
evolution of thought algorithmback-propagation algorithmreliabilityassessment modelship machinery
万方数据
维普
