最近，大量的模拟研究揭示了一个基于神经网络的方法，直接自适应控制在飞行控制系统的设计带来的潜在利益。
Numerous simulation studies have recently revealed the potential benefits of a neural network-based approach to direct adaptive control in the design of flight control systems.
本文描述了一个基于相关特征矩阵和神经网络的异常检测方法。
This article presents a anomaly detection method based on correlation eigen matrix and neural network.
论文将基于神经网络算法补偿传感器测量误差的方法，应用到水利测量技术中。
The method which sensor error is compensated with the artifical neural network algorithms is applied to the hydraulic measurement technique.
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