/Modelling_Viscoelastic_Objects

Data-Driven Haptic Modeling of Normal Interactions on Viscoelastic Deformable Objects Using a Random Forest model and a RBF model. Our approach is to build a Deep Learning model to beat the other the existing models in terms of root mean square error.

Primary LanguageJupyter Notebook

Modelling_Viscoelastic_Objects

Data-Driven Haptic Modeling of Normal Interactions on Viscoelastic Deformable Objects Using a Random Forest model and a RBF model. Our approach is to build a Deep Learning model to beat the other the existing models in terms of root mean square error.

References for implementing RBF:

https://pythonmachinelearning.pro/using-neural-networks-for-regression-radial-basis-function-networks/

http://www.rueckstiess.net/research/snippets/show/72d2363e

https://www.kaggle.com/residentmario/radial-basis-networks-and-custom-keras-layers