An optimum tuning of machine learning methods for predicting magnetorheological damper damping force for shock and vibration mitigation

• Main Authors: Irfan Bahiuddin, Irfan Bahiuddin, Tegar Prasetyo, Tegar Prasetyo, Dafa Rezy Pratama, Dafa Rezy Pratama, Fitrian Imaduddin, Fitrian Imaduddin, Mazlan, Saiful Amri, Surojo, Surojo
• Format: Conference or Workshop Item
• Published: 2023
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/108406/; http://dx.doi.org/10.1109/ICA58538.2023.10273070

The control of vibration in vehicles can be effectively achieved through the use of magnetorheological (MR) dampers. Feedforward neural network (FFNN) models offer a flexible and powerful alternative for predicting the damping force of MR dampers. However, traditional backpropagation-based neural ne...