计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (18): 106-110.
• 产品、研发、测试 • 上一篇 下一篇
胡求索,钟 诚
收稿日期:
修回日期:
出版日期:
发布日期:
通讯作者:
HU Qiu-suo,ZHONG Cheng
Received:
Revised:
Online:
Published:
Contact:
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。
Abstract: 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.
胡求索,钟 诚. 基于神经网络的软件模块风险性预测模型[J]. 计算机工程与应用, 2007, 43(18): 106-110.
HU Qiu-suo,ZHONG Cheng. Model of predicting software module risk based on neural network[J]. Computer Engineering and Applications, 2007, 43(18): 106-110.
0 / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://cea.ceaj.org/CN/
http://cea.ceaj.org/CN/Y2007/V43/I18/106
