The Study of the Robust Learning Algorithm for Neural Networks
In this paper, we propose the robust learning algorithm for neural networks. The suggested algorithm is obtaining the expanded Kalman filter in the Krein space. We show that this algorithm can be applied to identify the nonlinear system in the presence of the observed noise and system noise.
KeywordsNeural Network Nonlinear System Recurrent Neural Network Impulse Response Function System Noise
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