Results 101 to 110 of about 935 (185)

Newton Recursion Based Random Data-Reusing Generalized Maximum Correntropy Criterion Adaptive Filtering Algorithm. [PDF]

Entropy (Basel), 2022
Zhao J, Mu Y, Qiao Y, Li Q.
europepmc   +1 more source

A Robust Hierarchical Estimation Scheme for Vehicle State Based on Maximum Correntropy Square-Root Cubature Kalman Filter. [PDF]

Entropy (Basel), 2023
Qi D, Feng J, Li Y, Wang L, Song B.
europepmc   +1 more source

2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters. [PDF]

Sensors (Basel), 2022
Urooj A, Dak A, Ristic B, Radhakrishnan R.   +3 more
europepmc   +1 more source

Quaternion MLP Neural Networks Based on the Maximum Correntropy Criterion

, 2023
We propose a gradient ascent algorithm for quaternion multilayer perceptron (MLP) networks based on the cost function of the maximum correntropy criterion (MCC).
Tian, Xinyu, Zhang, Zuxuan, Wang, Gang
core   +1 more source

Adaptive Pressure Control System Based on the Maximum Correntropy Criterion. [PDF]

Sensors (Basel), 2021
Flores TKS, Villanueva JMM, Gomes HP, Catunda SYC.   +3 more
europepmc   +1 more source

A General Zero Attraction Proportionate Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification

, 2017
A general zero attraction (GZA) proportionate normalized maximum correntropy criterion (GZA-PNMCC) algorithm is devised and presented on the basis of the proportionate-type adaptive filter techniques and zero attracting theory to highly improve the ...
Yingsong Li, Jingshan Jiang, Yanyan Wang, Felix Albu   +3 more
core   +1 more source

A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding. [PDF]

Entropy (Basel), 2021
Liu X, Chen S, Shen X, Zhang X, Wang Y.
europepmc   +1 more source

Adaptive filtering under a variable kernel width maximum correntropy criterion

, 2017
The maximum correntropy criterion (MCC) algorithm with constant kernel width leads to a tradeoff problem in terms of convergence rate and steady-state misalignment.
Zhang, Sheng (R18909), Huang, Fuyi, Zhang, Jiashu   +2 more
core   +1 more source

Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterion

We develop a robust quaternion recurrent neural network (QRNN) for real-time processing of 3D and 4D data with outliers. This is achieved by combining the real-time recurrent learning (RTRL) algorithm and the maximum correntropy criterion (MCC) as a loss
Mandic, Danilo P., Bourigault, Pauline, Xu, Dongpo   +2 more
core   +1 more source

Variable Bayesian-Based Maximum Correntropy Criterion Cubature Kalman Filter with Application to Target Tracking. [PDF]

Entropy (Basel)
Ma Y, Zhang G, Ye S, An D.
europepmc   +1 more source