Magnetostriction behavior modeling of magnetorheological foam using data-driven neural network algorithm
Magnetorheological (MR) foam is a magnetic polymer composite (MPC) that has the potential to be used for the application of soft sensors and actuators in robotics due to its tuneable mechanical properties and magnetostriction. Material development has recently become challenging since it is both tim...
Saved in:
主要作者: | Rohim, Muhamad Amirul Sunni |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2022
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/99626/1/MuhamadAmirulSunniMMJIIT2022.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Modeling for viscoelastic behaviors of magnetorheological elastomer using single hidden layer feed-forward neural network approaches
由: Saharuddin, Kasma Diana
出版: (2022) -
Modeling time series data using Genetic Algorithm based on Backpropagation Neural network
由: Haviluddin
出版: (2018) -
Data-driven subspace-based model predictive control /
由: Noor Azizi Mardi
出版: (2010) -
Modeling of semi-active magnetorheological damper for automobile suspension system /
由: Rahman, Mahmudur
出版: (2014) -
Improved cuckoo search based neural network learning algorithms for data classification
由: Abdullah, Abdullah
出版: (2014)