FOA-Based SVM Parameter Optimization and Its Application in Ship Manoeuvring Prediction

Abstract

Abstract:

The fruit fly optimization algorithm (FOA) was applied to optimize the parameters of ε-support vector machine (εSVM). By using the ε-SVM, a black-box model for predicting the ship manoeuvring motion was established and applied to predict the zig-zag tests. The validity of the proposed algorithm was verified by comparing the predicted results with the simulation data. It is shown that the proposed algorithm is simple, convenient and effective.

Key words: ship manoeuvring prediction; , fruit fly optimization algorithm(FOA), support vector machine(SVM), parameter optimization

CLC Number:

U 661.33

Cite this article

WANG Xueganga,ZOU Zaojiana,b. FOA-Based SVM Parameter Optimization and Its Application in Ship Manoeuvring Prediction[J]. Journal of Shanghai Jiaotong University, 2013, 47(06): 884-888.

share this article

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: https://xuebao.sjtu.edu.cn/EN/

https://xuebao.sjtu.edu.cn/EN/Y2013/V47/I06/884

References

［1］Hess D, Faller W. Simulation of ship manoeuvres using recursive neural networks［C］// TwentyThird Symposium on Naval Hydrodynamics. Washington, D C: National Academy Press, 2001:223242.

［2］罗伟林. 基于支持向量机方法的船舶操纵运动建模研究［D］. 上海: 上海交通大学船舶海洋与建筑工程学院, 2009.

［3］张心光, 邹早建. 支持向量回归机不敏感因子ε对运动建模的影响［J］. 中国造船, 2011, 52(3): 4651.

ZHANG Xinguang, ZOU Zaojian. The effect of SVR insensitive factor on modeling of motion［J］. Shipbuliding of China, 2011, 52(3): 4651.

［4］刘胜, 李妍妍. 基于蚁群算法的SVM参数选择研究［C］// 2006年船舶通讯导航学术会议论文集. 湖北, 宜昌: 中国造船工程学会, 2006:163167.

［5］刘胜, 宋佳, 李高云. PSO并行优化LSSVR非线性黑箱模型辨识［J］. 智能系统学报, 2010, 5(1): 5156.

LIU Sheng, SONG Jia, LI Gaoyun. Modeling a complex nonlinear system with particle swarm optimization and paralleloptimized least squares vector regression ［J］. CAAI Transactions on Intelligent Systems, 2010, 5(1) :5156.

［6］PAN Wentsao. A new fruit fly optimization algorithm: Taking the financial distress model as an example［J］.

KnowledgeBased Systems, 2012, 26:6974.

［7］贾欣乐, 杨盐生. 船舶运动数学模型—机理建模与辨识建模［M］. 大连: 大连海事大学出版社, 1999.

［8］Chislett M S, Tejsen J S. Planar motion mechanism tests and full scale steering and maneuvering predictions for a Mariner class vessel［M］. Lyngby, Denmark: Teknisk Forlag, 1965.

Related Articles 11

[1]	XU Binbin, HONG Zhen, ZHAO Lei, YU Li. Bias Attack and Detection Method for Networked Inverted Pendulum System [J]. Journal of Shanghai Jiaotong University, 2020, 54(7): 697-704.
[2]	JIANG Wei. Research and Application of Drill String Torsional Vibration in Deepwater Drilling While Jetting the Conductor [J]. Ocean Engineering Equipment and Technology, 2019, 6(1): 450-456.
[3]	HE Peng-fei. Research and Application of Drill Technique in Bohai Oilfield Buried Hill Reservoir [J]. Ocean Engineering Equipment and Technology, 2017, 4(1): 19-24.
[4]	YANG Xu1,PENG Kaixiang1,LUO Hao2,KRUEGER Minjia2,ZONG Dazi1,DING Steven X2. Vibration-Related Fault Diagnosis in Cold Rolling Mill by Using EEMD and SVM [J]. Journal of Shanghai Jiaotong University, 2015, 49(06): 751-756.
[5]	HE Xiaoer,WANG Deyu. Parameter Selection for Support Vector Machine and Its Application in Structural Optimization [J]. Journal of Shanghai Jiaotong University, 2014, 48(04): 464-468.
[6]	JIANG Enyu1,2,ZAN Peng1,ZHU Xiaojin1,SHAO Yong1. Rectal Perception Function Rebuilding Based on Support Vector Machine Optimized by Particle Swarm Optimization [J]. Journal of Shanghai Jiaotong University, 2014, 48(02): 168-172.
[7]	TAO Meng1,2，WANG Guangwei1. Parameter Optimization of a Sound Absorption Layer Based on Multi-Objective Genetic Algorithm [J]. Journal of Shanghai Jiaotong University, 2013, 47(08): 1300-1305.
[8]	LI Xiao-Wei-1, SHI Jun-Wu-2, ZHANG Jian-Wu-1. The Lateral Modeling and Parameter Optimization Based on Vehicle-Track Coupled Dynamics for a Special Railway Vehicle [J]. Journal of Shanghai Jiaotong University, 2013, 47(02): 236-241.
[9]	LI Xiao-Wei-1, ZHANG Jian-Wu-1, LU Tong-Li-1, XUE Lin-2 . Optimization of Suspension Parameters Based on Vehicle-Track Coupled Model for a Special Railway Vehicle [J]. Journal of Shanghai Jiaotong University, 2012, 46(03): 346-351.
[10]	ZHANG Hongzhou1， MING Weiwei1， AN Qinglong1， CHEN Ming1, RONG Bin2， HAN Bing2. Application of Response Surface Methodology in Surface Roughness Prediction Model and Parameter Optimization [J]. Journal of Shanghai Jiaotong University, 2010, 44(04): 447-0451.
[11]	LI Kan1,2. Risk Evaluation Method of Weapon Equipment Development Project Based on Support Vector Machine [J]. Journal of Shanghai Jiaotong University, 2008, 42(11): 1851-1854.

Metrics

Viewed

Full text

Abstract

Comments

Abstract
References
Related Articles
Recommended Articles
Metrics
Comments

TOP