Calculation of robot parameters based on neural nets
The paper describes applications of recurrent neural network and back propagation learning method for calculation of mathematical model for PUMA 560 robot. The model is based on the Lagrange-Euler formulation and described by a set of nonlinear differential and algebraic equations. A numerical example has shown the comparison of neural model and robot manipulator.
The present study develops a non-parametric Bayesian network (NPBN) model to predict the corrosion depth on buried pipelines using the pipeline age and local soil properties. The dependence structu...