提出了利用径向基函数神经网络进行水轮机综合特性曲线数据处理的方法，建立了相应的数学模型和约束条件。
The method for data processing of synthetic characteristics curve of hydraulic turbine is proposed, the corresponding mathematical model and the condition of constraint is established.
通过实验提取一些常见故障模式的特性曲线，运用BP神经网络，实现了电液伺服阀的故障诊断和模式识别。
We picked the characteristic curve of the usual fault modal by the experiment and applied a BP network in fault diagnosis. And then we completed the fault diagnosis and modal identification.
本课题对电动液压助力转向系统的结构组成和工作原理作了分析，应用BP神经网络进行了助力曲线特性仿真。
In the project, the structure and principle of the Electro-Hydraulic Power Steering system are analyzed and BP nerve network is used to simulate its curve.
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