软件失效预测中的一个普遍问题是数据中噪声的存在。
A common problem in software fault prediction is presence of the noise in the data.
软件失效预测中的一个普遍的问题是数据中存在噪声，而神经网络具有鲁棒性并对噪声有很强的抑制能力。
A common problem in software faults prediction is the presence of noise in the data. Neural Networks are robust and have a good noise tolerance.
该文介绍了一种基于人工神经网络的软件失效预测模型，给出了基于反向传播算法的多层前向网络的网络结构。
This paper presents a kind of software faults prediction model based on artificial neural network and the structure of the feed-forward multi-layer network with backpropagation learning algorithm.
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