Abstract
In order to model the magnetorheological brake system under long-term operation and different working conditions, a novel performance prediction approach based on an improved long short term memory (LSTM) model is proposed to solve this problem. The framework of the proposed approach is presented, and an improved sparrow search algorithm is designed to optimize the hyperparameters of LSTM. Moreover, the proposed prediction approach based on improved LSTM is designed and the flowchart of this approach is shown. In addition, the first simulation example was carried out to demonstrate the effectiveness of the proposed model compared with the artificial neural network model and the conventional geometric model. Finally, the other simulation example was designed to exhibit the superior performance of the proposed algorithm compared with other algorithms.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.