基于模糊BP神经网络的钢箱梁焊接质量评价方法  

Evaluation Method of Welding Quality of Steel Box Girder Based on Fuzzy BP Neural Network

作　　者：徐洪飞 咸云飞 吴佰胜 XU Hong-fei;XIAN Yun-fei;WU Bai-sheng(CSIC Information Technology Co.,Ltd,Lianyungang Jiangsu 222000,China)

机构地区：[1]中船重工信息科技有限公司,江苏连云港222000

出　　处：《科技和产业》2020年第12期233-236,共4页Science Technology and Industry

摘　　要：针对钢箱梁焊接质量难以判别的问题,提出将智能BP神经网络算法与模糊集合理论相结合的策略,首先对BP神经网络根据实际需求进行建模,进而将BP神经网络预测输出值与模糊理论相结合。最终通过与原始的BP神经网络算法相比较,确定研究提出的模糊BP神经网络算法的优越性和鲁棒性。Aiming at the problem that the welding quality of steel box girder is difficult to judge,this paper proposes a strategy of combining the intelligent BP neural network algorithm with the fuzzy set theory.First,the BP neural network is modeled according to actual needs,and then the BP neural network's predicted output value is combined with the fuzzy set theory.Combine theories.Finally,by comparing with the original BP neural network algorithm,the superiority and robustness of the fuzzy BP neural network algorithm proposed in this paper are determined.

关 键 词：钢结构 模糊BP神经网络 模糊集合 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]