A unified analysis of proposed wavelet transform domain LMS-algorithm for ARMA process

GA-LSTM-ARMA Neural Network Based on Wavelet Transform for Ship Fuel Consumption Prediction

Y Yang, S Chen, R Li, H Kong, S Yi - Annual Conference of China …, 2023 - Springer
In order to predict the fuel consumption of ships more accurately, a GA-LSTM-ARMA
prediction model based on wavelet transform is proposed. Firstly, the time series of fuel …
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Chaotic Lorenz Time Series Prediction via NLMS Algorithm with Fuzzy Adaptive Step Size

RP Noronha - Modeling, Simulation and Optimization: Proceedings of …, 2022 - Springer
This work aims to propose the chaotic time series prediction based on autoregressive
moving average (ARMA) model via fuzzy adaptive step size–normalized least mean square …
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Least Mean Square Adaptive Filter Detection Based on Wavelet Transform in Spectrum Monitoring

X He, Y Zhang, Z Chen, L Wang - 2022 Photonics & …, 2022 - ieeexplore.ieee.org
The difficulty of spectrum detection and signal source perceivement is growing because of
the increase in electromagnetic interference. Due to the complexity of the electromagnetic …
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[引用][C] Normalized Least Mean Square with Fuzzy Variable Step Size for Time Series Prediction with Chaotic Dynamic Based on Autoregressive Moving Average …

RP Noronha
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