结构损伤识别技术是结构健康监测研究的关键问题之一，神经网络技术是解决这一问题的有效工具。
Damage identification technique is one of the key issues for structural health monitoring research. The technology of artificial neural networks is an available tool to solve the issues.
本文主要对模糊系统和神经网络技术在模型预测、故障模式分类和智能监测中的应用进行了研究。
In this paper the technologies of model forecasting and the fault model identification and the intelligence monitoring using fuzzy system and neural network are studied.
结果表明：BP神经网络技术可以用于二维区域水盐监测。
Result showed that the BP technique could be used in two dimension zonal water-salt monitor.
根据第一汽车集团公司车身厂车身点焊的具体特点，采用人工神经元网络技术，研制了一套新型车身点焊质量监测系统。
According to concrete conditions of autobody spot welding of FAW, a set of quality monitoring system for autobody spot welding has been developed by adoption of technology of ANN.
尽管如此，在不同病因学的脊柱畸形患者中IONM技术仍然是术中及时发现神经损伤的最重要方法。对于术中不能判别的监测结果变化，唤醒试验仍然是最终的金标准。
However, the IONM still serves as the most important monitoring method for the iatrogenic nerve injury in patients with different spinal deformity due to different etiologies.
文中在多元统计过程控制方法的基础上，将神经网络用于过程的监测，并在基于CORBA技术的多客户端工业过程中实时监测软件系统实现。
On the basis of the MSPC, this paper adopts the neural network for process monitoring and adds it to the multi - client distributed monitoring system designed based on CORBA.
文中在多元统计过程控制方法的基础上，将神经网络用于过程的监测，并在基于CORBA技术的多客户端工业过程中实时监测软件系统实现。
On the basis of the MSPC, this paper adopts the neural network for process monitoring and adds it to the multi - client distributed monitoring system designed based on CORBA.
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