Abstract
Aiming at the problem of aerodynamic parameter identification of spinning projectile, a Cuckoo search algorithm for extreme learning machine algorithm is proposed in this paper. The algorithm uses Cuckoo search algorithm to optimize the hidden layer weight and threshold of the extreme learning machine, so as to avoid the problem of unstable identification results caused by the random weight and threshold of the traditional extreme learning machine. The simulation results show that the algorithm can effectively identify the aerodynamic parameters of projectile, with high identification accuracy and fast convergence speed. The proposed algorithm is practical in engineer applications.
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.
