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提出了一种构造组合神经网络的方法。
Some methods are put forward to construct combined neural networks.
实验结果表明,这种组合神经网络能够显著提高软件可靠性的预测精度。
The results of experiments indicate: the ensemble neural network can improve greatly the accuracy of software reliability prediction.
提出一种新的贝叶斯组合神经网络模型并将其应用于短期交通流量的预测。
Method named BAYESIAN combined neural network model is proposed for short term traffic flow prediction in this paper.
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