Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Compared to normal learning algorithms, for example backpropagation, Kalman filter-based algorithm has some better properties, such as faster convergence, although this algorithm is more complex and sensitive to the nature of noises. , extended Kalman filter is applied to train recurrent wavelets neural networks for nonlinear system identification. In order to improve robustness of Kalman filter algorithm dead-zone robust modification is applied to Kalman filter. Lyapunov method is used to prove that this new training approach is stable.
['Juan Jose Cordova', 'Wen Yu']
I am writing a research paper on a idea Recurrent wavelets neural networks learning via dead zone Kalman filter
[{"from": "human", "value": "I am writing a research paper on a idea Recurrent wavelets neural networks learning via dead zone Kalman filter"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Compared to normal learning algorithms, for example backpropagation, Kalman filter-based algorithm has some better properties, such as faster convergence, although this algorithm is more complex and sensitive to the nature of noises. , extended Kalman filter is applied to train recurrent wavelets neural networks for nonlinear system identification. In order to improve robustness of Kalman filter algorithm dead-zone robust modification is applied to Kalman filter. Lyapunov method is used to prove that this new training approach is stable."}]