Strength prediction of rotary brace damper using MLR and MARS

• Main Authors: Mansouri, I., Safa, M., Ibrahim, Z., Kisi, O., Tahir, M.M., Baharom, S., Azimi, M.
• Format: Article
• Published: Techno-press Ltd 2016
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/17772/; http://dx.doi.org/10.12989/sem.2016.60.3.471
• Institution: Universiti Malaya

This study predicts the strength of rotary brace damper by analyzing a new set of probabilistic models using the usual method of multiple linear regressions (MLR) and advanced machine-learning methods of multivariate adaptive regression splines (MARS), Rotary brace damper can be easily assembled wit...