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.
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。
As part of this effort, artificial neural networks, implemented in software are being combined with chemical sensor arrays and spectrometers for use in prototype electronic noses.
作为这种努力的一部分，将由软件来完成的人造神经网络与用于原型电子鼻中的化学传感器阵列和分光计结合在一起。
With ASPEN PLUS software, the paper simulates the quench system by neural networks, constructs the NN model to complete the simple simulation and calculation of the quench system.
以aspen PLUS软件为平台，用神经网络对急冷系统进行了严格模拟，建立了神经网络模型，可用于急冷系统简单的模拟计算。
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