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.
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 model may solve a kind of problems of synthetic evaluation by determining standard objects, processing data normally, network adaptive learning and evaluation result output.
该模型通过确定标准对象，数据的标准化处理，网络自适应学习和评价结果输出等环节，可以有效地解决一类综合评价问题。
The data volume and computation task of Synthetic Aperture Radar (SAR) is huge, very high speed computation is necessary for SAR real-time processing.
高时效性是SAR成像系统的一个关键性能，SAR成像处理数据量大，运算量大，要实现实时处理就要求运算速度极快。
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