Abstract
Combining ant colony optimization (ACO) algorithm with back-propagation (BP) algorithm, the ACO-BP algorithm is proposed to optimize shift decision based on the vehicle velocity, the vehicle acceleration and the throttle opening. Both BP local search capability and global search ability of ACO are utilized, where ACO is used to train the BP network weights and thresholds. Experimental results show that the proposed automatic transmission shift control system has good capability of gear recognition, and can make shift decision promptly and effectively.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
