The applications of neural network filter to estimation of oil spoil in sea

被引：0
|
作者：
Tong Yuming [2 ]
Xu Dijian [1 ]
Shi Jinliang [1 ]
Zeng Jiankui [1 ]
机构：
[1] Chongqing Univ Sci & Technol, Chongqing, Peoples R China
[2] Chongqing Normal Univ, Chongqing, Peoples R China
来源：
ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES IV, PTS 1 AND 2 | 2014年 / 889-890卷
关键词：
Artificial Neural Network (ANN); Oil spoil; Maximum Likelihood; Target detection; Parameter estimation; ARRIVAL; LOCATION;
D O I：
10.4028/www.scientific.net/AMR.889-890.1625
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The oil spoil detection is an important problem in many applications such as oil exploration and transportation. But in some application such as sea, this task is very difficult because of the strong clutter. Many algorithms have been proposed for this problem. The Maximum Likelihood (ML) is one of those good solutions. This paper describes an application of neural network (NN) for obtaining the global optimal solution of finding oil spoil. It improves the estimation accuracy. The computation complexity is modest.
引用
收藏
页码：1625 / +
页数：2
相关论文
共 50 条
  • [41] A comparison of artificial neural network and extended Kalman filter based sensorless speed estimation
    Aydogmus, Zafer
    Aydogmus, Omur
    MEASUREMENT, 2015, 63 : 152 - 158
  • [42] Estimation of particulate loading in diesel particulate filter by using self structured neural network
    Bohari, AR
    Mizuno, N
    JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING, 1999, 42 (02): : 335 - 343
  • [43] Ca50 estimation based on Neural Network and smooth variable structure filter
    Wen, Bin
    Wu, Xinyu
    Wu, Kai
    Zhang, Qi
    Zhang, Xuemei
    ISA TRANSACTIONS, 2021, 114 : 499 - 507
  • [44] Particle Filter based Neural Network Modeling of Nonlinear Systems for State Space Estimation
    Rajesh, M. V.
    Archana, R.
    Unnikrishnan, A.
    Gopikakaumari, R.
    CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 1477 - +
  • [45] Adaptive Filter Algorithms Based Noise Cancellation Using Neural Network in Mobile Applications
    Kumar, A. M. Prasanna
    Ramesha, K.
    INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND APPLICATIONS, ICICA 2016, 2018, 632 : 67 - 78
  • [46] Neural network generation of adaptive filter and new applications in remote sensing image processing
    Tang P.
    Liu X.
    Jin X.
    Zhang Z.
    National Remote Sensing Bulletin, 2023, 27 (07) : 5 - 15
  • [47] High-Dimensional Neural-Network Technique and Applications to Microwave Filter Modeling
    Kabir, Humayun
    Wang, Ying
    Yu, Ming
    Zhang, Qi-Jun
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2010, 58 (01) : 145 - 156
  • [48] Optimal Subband Adaptive Filter Over Functional Link Neural Network: Algorithms and Applications
    Ye, Jianhong
    Yu, Yi
    Chen, Badong
    Zheng, Zongsheng
    Chen, Jie
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2024,
  • [49] A Spectral Feature Based Convolutional Neural Network for Classification of Sea Surface Oil Spill
    Liu, Bingxin
    Li, Ying
    Li, Guannan
    Liu, Anling
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (04)
  • [50] Application of Entropy Ensemble Filter in Neural Network Forecasts of Tropical Pacific Sea Surface Temperatures
    Foroozand, Hossein
    Radic, Valentina
    Weijs, Steven V.
    ENTROPY, 2018, 20 (03)
12345