| 基于进化神经网络对软件可靠性的预测 |
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| 引用本文： | 张桂勇,沈元隆,丁晓光,王玲. 基于进化神经网络对软件可靠性的预测[J]. 数字社区&智能家居, 2008, 0(10): 181-183 |
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| 作者姓名： | 张桂勇 沈元隆 丁晓光 王玲 |
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| 作者单位： | 南京邮电大学光电工程学院,江苏南京210003 |
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| 摘 要： | 用神经网络对软件可靠性进行预测比传统的NHPP预测模型预测精度高、拟合度好。但是神经网络的结构是有经验的神经网络专家根据实际经验得来的。而该文提出了用遗传算法去优化神经网络的结构，很好的解决了神经网络的结构问题。用进化的神经网络对软件可靠性的预测提高了预测的精度和准确度。
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| 关 键 词： | 软件可靠性 神经网络 遗传算法 |
Prediction of Software Reliability Based on Evolutionary Neural Network |
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| ZHANG Gui-yong,SHEN Yuan-long,DING Xiao-guang,WANG Ling. Prediction of Software Reliability Based on Evolutionary Neural Network[J]. Digital Community & Smart Home, 2008, 0(10): 181-183 |
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| Authors: | ZHANG Gui-yong SHEN Yuan-long DING Xiao-guang WANG Ling |
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| Affiliation: | (College of Optoelectronic Engineering,Nanjing University of Posts ＆ Telecommunications,Nanjing 210003,China) |
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| Abstract: | It is more precise using neural network to predict software reliability than the model of NHPP. The structure of neural network designs by experienced experts. The author uses genetic algorithm to optimize the structure of neural network and solves this problem. The evolutionary neural network can effectively improve the ability of prediction in precision and accurate. |
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| Keywords: | software reliability neural network genetic algorithm |
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