Therefore, we propose the Adaptive Learning Rates(ALRs) of Extended Kalman Filter(EKF) based training algorithm for wavelet neural networks(WNNs). The ALRs of ...
Abstract. Since the convergence of neural networks depends on learn- ing rates, the learning rates of training algorithm for neural networks.
The Adaptive Learning Rates(ALRs) of Extended Kalman Filter (EKF) based training algorithm for wavelet neural networks (WNNs) are proposed and the ...
Bibliographic details on The Adaptive Learning Rates of Extended Kalman Filter Based Training Algorithm for Wavelet Neural Networks.
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This work describes and compares the backpropagation algorithm with the Extended Kalman filter, a second-order training method which can be applied to the ...
[PDF] Combining unscented Kalman filter and wavelet neural network for anti ...
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Jan 4, 2024 · where, h is the learning rate. Combining with Eqs. (1)e(3), the ... the traditional filtering algorithm based on physical model to cope.
A comparison between extended Kalman filter and conventional back propagation, which are used in a classification problem, show that the training with Kalman ...
The research introduces a technique for integrating Unscented Kalman Filter (UKF) and Wavelet Neural Network (WNN) to estimate the state of subsea pipeline ...
Abstract: An optimal online learning algorithm of a wavelet neural network is proposed. The algorithm provides not only the tuning of synaptic weights in real ...
Jan 15, 2021 · The proposed FWN follows a two-stage efficient learning algorithm scheme, which undertakes the extended Kalman filter (EKF) training algorithm ...
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