Publications / 1999 Proceedings of the 16th ISARC, Madrid, Spain
Due to load uncertainties of cranes, it is necessary to find exact kinematic parameters of crane mechanisms.This research is concerned with application of neural network to the kinematic analysis of a crane mechanism. The type of network investigated is a Radial Basis Neural Network (RBNN). The crane mechanism is considered as a double-rocker four-bar mechanism. Desired kinematic parameter of the crane is found by software dealing with simulation and analysis of mechanisms. The RBNN is employed in four parameters prediction schemes; displacement, velocity, acceleration and force. The results obtained have supported the theory that the proposed RBNN is able to predict different types of crane system.