Automatic Ship Berthing Using Parallel Neural Controller

Abstract In this paper a parallel ANN(artificial neural networks) for the automatic berthing will be discussed. This controller has a separated hidden layer each control an engine and a rudder respectively. Using this controller simulations were carried out where the initial conditions such as ship's positions and heading angle are different from teaching data provided. Finally comparison of separated hidden layer and united hidden layer will be described.