posted on 2023-05-27, 00:40authored byBin Abdullah, Muhammad Dimyati
This thesis is about the application of Neural Networks in the sensing of an object position relative to a reference point. An object is rotated a certain angle in space and a Neural Network was then used to estimate its orientation. Previous methods had always been to transform 3-dimensional data into 2-dimensional data before presenting it to the network. In this thesis 3-dimensional data is used as the input to the Neural Network. Training data was obtained via two methods, the first one was through a Pascal program and the other through a commercial CAD software. The input to the Backpropagation Network are coordinates of the object vertices and the target output are the rotation parameters for each particular position.
History
Publication status
Unpublished
Rights statement
Copyright 1993 the Author Thesis (MTech)--University of Tasmania, 1993. Includes bibliographical references