摘要
基于SRGM的ANN建模、动态加权组合模型、故障引进过程、故障检测过程、故障校正过程,阐述动态加权组合神经网络模型,再从恒定校正时间、时间相关校正时间、指数分布校正时间,探讨动态加权组合神经网络模型的故障校正过程,从可靠性评价实验、参数估算、实验结果,分析动态加权组合神经网络模型的软件测试实验。
Based on the ANN modeling, dynamic weighted combination model, fault introduction process, fault detection process and fault correction process of SRGM, this paper expounds the dynamic weighted combination neural network model, and then discusses the fault correction process of dynamic weighted combination neural network model from the constant correction time, time-dependent correction time and exponential distribution correction time, The software test experiment of dynamic weighted combined neural network model is analyzed.
作者
赵慧娟
ZHAO Huijuan(Anyang Normal University,Henan 455000,China.)
出处
《电子技术(上海)》
2022年第4期70-72,共3页
Electronic Technology
关键词
计算机工程
动态加权组合
神经网络模型
软件测试
computer engineering
dynamic weighted combination
neural network model
software testing