摘要
软件设计中可靠性模型的选择对软件的可靠性估测具有非常重要的作用。通过开发出一个可适用模型的建模系统,针对不同的实际问题,构造可适用的模型是开发适用模型的重要途径。主要阐述前向神经网络在软件系统中的可靠性研究。通过对前向神经系统的输入层、输出层和屏蔽层等3种不同类型层次的工作原理的学习和模拟,探讨如何构建用于计算机软件可靠性测评的模型以及所面临的问题。
The selection of reliability model in software design plays an important role for evaluation of software reliability. Through developing a model construction system for suitable models the construction of suitable model for different problems in practice is an important approach for development of suitable model. The application of Feed Forward neural Networks system in studying software reliability is described. By learning and simulating the working principle of the three different layers of forward nerve system, i. e. input layer, output layer and hiden layer, how to construct model used for the evaluation of computer software reliability and the facing problems are investigated.
出处
《上海船舶运输科学研究所学报》
2005年第2期82-84,共3页
Journal of Shanghai Ship and Shipping Research Institute
关键词
人工智能
神经网络
研究
可靠性模型
前向神经网络
Artificial intelligence
Neural Networks
Research
Reliability model
Feed Forward neural Networks
