摘要
采用学习矢量量化神经网络对软件质量进行预测,提出基于学习矢量量化神经网络的软件模块风险性预测模型,与BP神经网络预测模型相比,实验结果表明提出的模型获得更精确的预测效果。
This paper applies the learning vector quantization network to predict the software quality,and proposes a model of predicting the software module risk based on the learning vector quantization network.The experimental results show that this model can achieve the more precise prediction result than the neural network prediction model of back propagation.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第18期106-110,共5页
Computer Engineering and Applications
基金
广西科学基金(No.桂科自0339008)。
