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.
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