Back-propagation algorithm with variable adaptive momentum
In this paper, we propose a novel machine learning classifier by deriving a new adaptive
momentum back-propagation (BP) artificial neural networks algorithm. The proposed …
momentum back-propagation (BP) artificial neural networks algorithm. The proposed …
FPGA implementation of modified error normalized LMS adaptive filter for ECG noise removal
High frequency noise and channel noise are dominant in wireless ECG monitoring systems
which can be modeled as white Gaussian noise. Least mean square (LMS) algorithm based …
which can be modeled as white Gaussian noise. Least mean square (LMS) algorithm based …
Robust adaptive learning approach to self-organizing maps
Abstract The Self-Organizing Map (SOM) has attracted much research in diverse fields of
study, where it has been successfully applied to a wide range of artificial intelligence …
study, where it has been successfully applied to a wide range of artificial intelligence …
Performance analysis of the auxiliary model-based stochastic gradient parameter estimation algorithm for state-space systems with one-step state delay
F Ding, Y Gu - Circuits, Systems, and Signal Processing, 2013 - Springer
How to use the observation data to build the mathematical models of time-delay systems
and how to estimate the parameters of the obtained models are important for studying the …
and how to estimate the parameters of the obtained models are important for studying the …
Recursive inverse algorithm: Mean-square-error analysis
The recently proposed recursive inverse (RI) adaptive algorithm has shown improved
performance compared to some well-known adaptive algorithms [1]. However, there has …
performance compared to some well-known adaptive algorithms [1]. However, there has …
Adaptive recursive inverse‐based control algorithm for shunt active power filter
A new adaptive control technique is proposed for a three‐phase shunt active power filter
(SAPF) in this study. The proposed control algorithm is based on recursive inverse theory …
(SAPF) in this study. The proposed control algorithm is based on recursive inverse theory …
An efficient noise removal technique using modified error normalized LMS algorithm
C Venkatesan, P Karthigaikumar - National Academy Science Letters, 2018 - Springer
Adaptive filters are increasingly popular in electrocardiogram noise cancellation due to their
inherent ability to deal with nonstationary signals. In the past, adaptive filters with least mean …
inherent ability to deal with nonstationary signals. In the past, adaptive filters with least mean …
A new LMS based noise removal and DWT based R-peak detection in ECG signal for biotelemetry applications
S Satheeskumaran, M Sabrigiriraj - National Academy Science Letters, 2014 - Springer
ECG signals are non-stationary pseudo periodic in nature and whose behavior changes
with time. The proper processing of ECG signal and its accurate feature extraction is very …
with time. The proper processing of ECG signal and its accurate feature extraction is very …
Joint estimation of states and parameters for an input nonlinear state-space system with colored noise using the filtering technique
X Wang, F Ding - Circuits, Systems, and Signal Processing, 2016 - Springer
This paper concerns the state and parameter estimation problem for an input nonlinear state-
space system with colored noise. By using the data filtering and the over-parameterization …
space system with colored noise. By using the data filtering and the over-parameterization …
Data filtering-based multi-innovation stochastic gradient algorithm for nonlinear output error autoregressive systems
Y Mao, F Ding - Circuits, Systems, and Signal Processing, 2016 - Springer
This paper discusses the parameter estimation problems of nonlinear output error
autoregressive systems and presents a data filtering-based multi-innovation stochastic …
autoregressive systems and presents a data filtering-based multi-innovation stochastic …