Energy consumption prediction method based on LSSVM-PSO model for autonomous underwater gliders
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Energy consumption prediction method based on LSSVM-PSO model for autonomous underwater gliders
Authors
Keywords
Autonomous underwater gliders, Energy consumption prediction, Least squares support vector machines, Particle swarm optimization algorithm
Journal
OCEAN ENGINEERING
Volume 230, Issue -, Pages 108982
Publisher
Elsevier BV
Online
2021-04-25
DOI
10.1016/j.oceaneng.2021.108982
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Combined Depth Control Strategy for Low-Speed and Long-Range Autonomous Underwater Vehicles
- (2020) Anyuan Bi et al. Journal of Marine Science and Engineering
- Roles of artificial intelligence in construction engineering and management: A critical review and future trends
- (2020) Yue Pan et al. AUTOMATION IN CONSTRUCTION
- Rigorous correlations for predicting the solubility of H 2 S in methylimidazolium‐based ionic liquids
- (2019) Mohammad Mesbah et al. CANADIAN JOURNAL OF CHEMICAL ENGINEERING
- Sensitivity analysis and parameter optimization of energy consumption for underwater gliders
- (2019) Yang Song et al. ENERGY
- Motion parameter optimization for gliding strategy analysis of underwater gliders
- (2019) Ming Yang et al. OCEAN ENGINEERING
- Hydrodynamic coefficient estimation for ship manoeuvring in shallow water using an optimal truncated LS-SVM
- (2019) Haitong Xu et al. OCEAN ENGINEERING
- Effective modeling methods to accurately predict the miscibility of CO2 in ionic liquids
- (2019) Mohammad Mesbah et al. CHEMICAL ENGINEERING RESEARCH & DESIGN
- Coordinate Control, Motion Optimization and Sea Experiment of a Fleet of Petrel-II Gliders
- (2018) Dong-Yang Xue et al. Chinese Journal of Mechanical Engineering
- Model and simulation of the energy retrieved by thermoelectric generators in an underwater glider
- (2018) J. Falcão Carneiro et al. ENERGY CONVERSION AND MANAGEMENT
- Lagrangian coherent structure assisted path planning for transoceanic autonomous underwater vehicle missions
- (2018) A. G. Ramos et al. Scientific Reports
- Modification of landslide susceptibility mapping using optimized PSO-ANN technique
- (2018) Hossein Moayedi et al. ENGINEERING WITH COMPUTERS
- Predicting physical properties (viscosity, density, and refractive index) of ternary systems containing 1-octyl-3-methyl-imidazolium bis(trifluoromethylsulfonyl)imide, esters and alcohols at 298.15 K and atmospheric pressure, using rigorous classification techniques
- (2017) Mohammad Mesbah et al. JOURNAL OF MOLECULAR LIQUIDS
- Ocean Glider Observations Around Australia
- (2017) Charitha Pattiaratchi et al. OCEANOGRAPHY
- Particle swarm optimization algorithm: an overview
- (2017) Dongshu Wang et al. SOFT COMPUTING
- Shape optimization of blended-wing-body underwater glider by using gliding range as the optimization target
- (2017) Chunya Sun et al. International Journal of Naval Architecture and Ocean Engineering
- Toward Optimal Rendezvous of Multiple Underwater Gliders: 3D Path Planning with Combined Sawtooth and Spiral Motion
- (2016) Junliang Cao et al. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
- Vector field path following for surface marine vessel and parameter identification based on LS-SVM
- (2016) Haitong Xu et al. OCEAN ENGINEERING
- Short-term wind power prediction based on LSSVM–GSA model
- (2015) Xiaohui Yuan et al. ENERGY CONVERSION AND MANAGEMENT
- Feature based adaptive energy management of sensors on autonomous underwater vehicles
- (2015) Hans Christian Woithe et al. OCEAN ENGINEERING
- Underwater Glider Reliability and Implications for Survey Design
- (2014) Mario Brito et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- Prediction of phase equilibrium of CO2/cyclic compound binary mixtures using a rigorous modeling approach
- (2014) Mohammad Mesbah et al. JOURNAL OF SUPERCRITICAL FLUIDS
- Practical use of statistical learning theory for modeling freezing point depression of electrolyte solutions: LSSVM model
- (2014) Hamidreza Yarveicy et al. Journal of Natural Gas Science and Engineering
- Motion Parameter Optimization and Sensor Scheduling for the Sea-Wing Underwater Glider
- (2013) Jiancheng Yu et al. IEEE JOURNAL OF OCEANIC ENGINEERING
- Online adaptive least squares support vector machine and its application in utility boiler combustion optimization systems
- (2011) Yanping Gu et al. JOURNAL OF PROCESS CONTROL
- Model selection for the LS-SVM. Application to handwriting recognition
- (2008) Mathias M. Adankon et al. PATTERN RECOGNITION
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started