A model for the kinematical analysis of a six degrees of freedom parallel robot
Emilia Ciupan · 2010
The paper presents neural model for the kinematical analysis of six dof parallel robot. The modelling consists of two stages. The first stage is choosing a three-layer perceptron type neural network and it will be trained so that it will learn a set of training data well enough. The second stage means testing the model obtained through training, during the generalization phase. Both tasks was carried out using personal software.