一种改进的BP神经网络在软件可靠性预测中的应用  

An improved BP neural network in the application of the software reliability prediction

作　　者：李梅[1] 

机构地区：[1]西安欧亚学院,陕西西安710065

出　　处：《自动化与仪器仪表》2016年第12期31-32,共2页Automation & Instrumentation

基　　金：陕西省教育厅科学研究项目(15JK2077)

摘　　要：神经网络之非线性计算能力很强,人们日益注重分析立足于神经网络的软件可靠性模型。本文阐述了软件可靠性的基本概念和BP神经网络的基本原理,提出了一种软件可靠性模型的网络结构的设计思路及在此模型上BP算法的训练过程。Neural network has very strong nonlinear computation ability,created a study to the software reliability model based on neural network is more and more attention.This paper expounds the basic principle of BP neural network and the software reliability model based on neural network modeling process,this paper proposes a software reliability model of the design of the network structure and the training process of BP algorithm in this model.

关 键 词：神经网络 软件可靠性 BP算法 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]