研究了扩展拉格朗日方法的人工神经网络模型，实现了其电路结构，并进行了仿真实验。
We have investigated artificial neural network models based on an augmented Lagrange method, and accomplished the circuit structure and the simulation experiments.
应用MATLAB针对一伴有随机噪声的信号进行了仿真实验，证明了该理论的可行性与优越性。
Simulation is carried out to a signal with random noise through the application of MATLAB, which verifies the practicability and the superiority of the theory.
为了验证该方法的有效性，以核电厂设备蒸汽发生器u形管破裂等故障为例，进行了仿真实验研究。
In order to test the validity of the method, the inverted U-tubes break accident of Steam Generator and etc are used as examples, and many simulation experiments are performed.
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