On the approximation of the inverse dynamics of a robotic manipulator by a neural network trained with a stochastic learning algorithm

The SAGA algorithm is used to ap-proximate the inverse dynamics of a robotic manipulator with two rotational joints. SAGA (Simulated Annealing Gradient Adaptation) is a stochastic strategy for additive construction of an artificial neural network of the two-layer perceptron type based on three essen...