Adaptive Surface Ship-Wake Detection Based on Improved One-Class Support Vector Machine

被引：0

作者：

Wang, Cheng ^{[1
]}

Yang, Tingfei ^{[1
]}

Meng, Qiang ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Nav Inst, Xian, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MECHATRONICS AND INDUSTRIAL INFORMATICS | 2015年 / 31卷

关键词：

mathematic wake echo signal model; One-class support vector machine; Sequential minimal optimization; ship-wake detector;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It is difficult to collect bubble-wake signals from different ocean environments caused by various types of ship. One-class support vector machine (OCSVM) can make decision based on incomplete information. This paper found an OCSVM detection model which use only reflected signals without a bubble wake to detect the surface ship-wake. In order to improve the training efficiency, a training algorithm based on Sequential Minimal Optimization (SMO) was introduced for OCSVM. Grid search method and Particle Swarm Optimization (PSO) algorithm are used to search optimal parameter. The simulation shows that the proposed detector can detect the ship weak well and it was robust with respect to noisy signals.

引用

页码：656 / 661

页数：6

共 50 条

[21] One-Class Support Vector Machine with Relative Comparisons
Gu H.
Zhao G.
Qiu J.
Tsinghua Science and Technology, 2010, 15 (02) : 190 - 197
[22] One-Class Support Vector Machine with Relative Comparisons
顾弘
赵光宙
裘君
Tsinghua Science and Technology, 2010, 15 (02) : 190 - 197
[23] Locality Correlation Preserving Based One-Class Support Vector Machine
Chang, Jian-Di
Xing, Hong-Jie
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 1113 - 1118
[24] Listen to This: Music Recommendation Based on One-Class Support Vector Machine
Yepes, Fabio A.
Lopez, Vivian F.
Perez-Marcos, Javier
Gil, Ana B.
Villarrubia, Gabriel
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS (HAIS 2018), 2018, 10870 : 467 - 478
[25] Locality Preserving One-Class Support Vector Machine
Wang, Xiaoming
Tian, Yong
Yang, Xiaohuan
Du, Yajun
INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING: BIG DATA AND MACHINE LEARNING TECHNIQUES, ISCIDE 2015, PT II, 2015, 9243 : 76 - 85
[26] Structural One-Class Support Vector Machine on Hadoop
Qian, Yuxing
Feng, Aimin
PROCEEDINGS OF THE 2015 JOINT INTERNATIONAL MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY CONFERENCE (JIMET 2015), 2015, 10 : 506 - 510
[27] Constructing Kernels for One-class Support Vector Machine
Zhang, Bin
Zhu, Jiagang
Tian, Haobing
14TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS, ENGINEERING AND SCIENCE (DCABES 2015), 2015, : 468 - 471
[28] Pegasos Algorithm for One-Class Support Vector Machine
Lee, Changki
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2013, E96D (05) : 1223 - 1226
[29] Least squares one-class support vector machine
Choi, Young-Sik
PATTERN RECOGNITION LETTERS, 2009, 30 (13) : 1236 - 1240
[30] Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection
Wang, Tianyao
He, Fan
Yang, Ruikai
Ye, Zhixing
Huang, Xiaolin
2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, 2023,

← 1 2 3 4 5 →