系统辨识是高性能自动化技术(如适应控制与学习控制)中的重要内容。
System identification plays an important role in high performance automation technologies such as adaptive control and learning control.
实验证明，此控制系统具有较强的自适应性与自学习能力，表明了该方案的正确性与实用性。
Experiment demonstrates that the system has good self adaptability and self studying ability, certifying the correctness and practicability of the proposed scheme.
模糊神经网络是智能技术的一个重要分支，它是神经网络与模糊系统的有机结合，具有强大的自学习和自适应功能。
Fuzzy Neural network technology is one of the branches of intelligent technology. It is the combination of neutral network and fuzzy system, have the function of self-study and self-adaptive.
研究表明，该网络结构简单，学习速度快，适应性广，可以对船舶导航系统的传感器故障进行检测与诊断。
The ANN can be used to detect and diagnose faults of sensors occurring in ship navigation system, and its detection rate and correct rate of diagnosis is perfect for assigned faults.
与标准BP算法比较，该系统通过结合附加动量法和自适应学习速率形成新的BP改进算法。
Compared to the standard BP, this algorithm integrated the additional momentum method with the adaptive learning rate method.
与标准BP算法比较，该系统通过结合附加动量法和自适应学习速率形成新的BP改进算法。
Compared to the standard BP, this algorithm integrated the additional momentum method with the adaptive learning rate method.
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