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提出了一种基于递归神经网络的MOA状态预测方法。通过实例对比,证明该方法优于常规的BP算法.为实现MOA状态的智能诊断及预测提供了一种有效的途径。
A new method of state estimation based on recurrent neural network is proposed. The comparison of examples shows that this method is superior to the conventional BP algorithm and provides an effective way to realize the intelligent diagnosis and prediction of MOA states.