Results 91 to 100 of about 3,111 (174)

Passive Target Motion Analysis With Own‐Ship Location Uncertainty in the Presence of Non‐Gaussian Sensor Noise

IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.
This work explores underwater TMA by incorporating time delay and Doppler frequency measurements along with angle data, eliminating the need for own‐ship manoeuvre and improving estimation accuracy in presence of non‐Gaussian sensor noise. Furthermore, since the own‐ship's position is inherently uncertain due to navigation errors, this work addresses ...
Rohit Kumar Singh, Shreya Das, Shovan Bhaumik   +2 more
wiley   +1 more source

Multicriteria Learning: Combining Minimum Mean Square Error, Minimum Error Entropy, and Maximum Correntropy in the Presence of Gaussian and Non‐Gaussian Noises

IET Signal Processing, Volume 2025, Issue 1, 2025.
Understanding natural phenomena relies heavily on learning criteria aimed at minimizing model errors and enhancing fidelity to real‐world conditions. This study investigates a linear combination of three criteria: minimum mean square error (MMSE), minimum error entropy (MEE), and maximum correntropy criterion (MCC), using a gradient descent algorithm ...
Fatemeh Mohamaddust, Saeid Pakravan, Ghosheh Abed Hodtani, Yongcheng Jing   +3 more
wiley   +1 more source

Kernel Mixture Correntropy Conjugate Gradient Algorithm for Time Series Prediction

Entropy, 2019
Kernel adaptive filtering (KAF) is an effective nonlinear learning algorithm, which has been widely used in time series prediction. The traditional KAF is based on the stochastic gradient descent (SGD) method, which has slow convergence speed and low ...
Nan Xue, Xiong Luo, Yang Gao, Weiping Wang, Long Wang, Chao Huang, Wenbing Zhao   +6 more
doaj   +1 more source

Enhancing Smart City Security: An Intrusion Detection System Using Machine Learning Methods With the UNB CIC IoT 2023 Dataset

IET Smart Cities, Volume 7, Issue 1, January/December 2025.
Security of smart cities using machine learning methods. ABSTRACT Smart cities, characterised by their extensive use of IoT devices, aim to enhance urban living through improved efficiency, sustainability and quality of life. However, the widespread integration of IoT technology introduces significant cybersecurity challenges, including vulnerabilities
Mehdi Houichi, Faouzi Jaidi, Adel Bouhoula   +2 more
wiley   +1 more source

Novel time delay estimation algorithm for ADS-B based on an auxiliary source and correntropy

Tongxin xuebao, 2015
A novel time delay estimation algorithm was proposed to correct ADS-B latency employing an auxiliary signal source and correntropy.Firstly,the cause of message delay was analyzed and a new latency model was raised.Secondly,when comparing the signal ...
Sheng-yang LUAN, Tian-shuang QIU, Ai-min SONG, Jing-chun LI, Hai-feng TAN   +4 more
doaj  

Type‐3 Fuzzy System‐Based Intelligent Control Approaches and Applications

Advances in Fuzzy Systems, Volume 2025, Issue 1, 2025.
Type‐3 fuzzy logic has been recently used in many control methods. The type‐3 fuzzy controller enhances the handling of uncertainty and improves robustness by integrating fuzzy sets with fuzzy membership functions. The latest approaches using type‐3 fuzzy logic in the field of control are studied and evaluated.
Turki Y. Abdalla, AbdulKareem Y. Abdalla, Adala M. Chyaid, Katsuhiro Honda   +3 more
wiley   +1 more source

Graph Regularized Non-negative Matrix Factorization By Maximizing Correntropy

, 2014
Non-negative matrix factorization (NMF) has proved effective in many clustering and classification tasks. The classic ways to measure the errors between the original and the reconstructed matrix are $l_2$ distance or Kullback-Leibler (KL) divergence ...
Fan, Zhuoyi, Li, Le, Xu, Yang, Yang, Jianjun, Zhang, Honggang, Zhao, Kaili   +5 more
core   +1 more source

A Simplified DOA Estimation Method Based on Correntropy in the Presence of Impulsive Noise

IEEE Access, 2018
Many approaches have been studied in the field of array signal processing when impulsive noise is modeled with an alpha-stable distribution. By introducing the correntropy, which exhibits a robust statistics property, this paper defines a correntropy ...
Quan Tian, Tianshuang Qiu, Jitong Ma, Jingchun Li, Rong Li   +4 more
doaj   +1 more source

Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning

IEEE Access, 2019
This paper proposes a topological clustering algorithm by integrating topological structure and information theoretic learning, i.e., correntropy, into adaptive resonance theory (ART). Specifically, the proposed algorithm utilizes the correntropy induced
Naoki Masuyama, Chu Kiong Loo, Hisao Ishibuchi, Naoyuki Kubota, Yusuke Nojima, Yiping Liu   +5 more
doaj   +1 more source

A Quantized Kernel Learning Algorithm Using a Minimum Kernel Risk-Sensitive Loss Criterion and Bilateral Gradient Technique

Entropy, 2017
Recently, inspired by correntropy, kernel risk-sensitive loss (KRSL) has emerged as a novel nonlinear similarity measure defined in kernel space, which achieves a better computing performance.
Xiong Luo, Jing Deng, Weiping Wang, Jenq-Haur Wang, Wenbing Zhao   +4 more
doaj   +1 more source