Adaptive Course Control System of an Unmanned Surface Vehicle (USV) Based on Back-propagation Neural Network (BPNN)

Yang, Fang; Zhang, Huajun; Wang, Biao; Jiang, Chaochao

doi:10.2991/mmme-16.2016.175

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Adaptive Course Control System of an Unmanned Surface Vehicle (USV) Based on Back-propagation Neural Network (BPNN)

Cited by 6 publications

References 2 publications

Ship heading control system using neural network

Ship heading control system using neural network

A course control system of unmanned surface vehicle (USV) using back-propagation neural network (BPNN) and artificial bee colony (ABC) algorithm

Self-tuning ship autopilot based on the neural network concept: An empirical approach

Contact Info

Product

Resources

About