Abstract
The aim of this paper is the recognition of simple plane geometric shapes using Artificial Neural Networks and ultrasound echoes obtained from appropriate objects situated in front of one ultrasonic sensor. For us, the two much more simple plane geometric shapes are: segments and corners. Once the echoes were obtained by the sensor and stored in the computer, we preprocessed them by Fast Fourier Transform Algorithm and then we fed to an Artificial Neural Network with the first one hundred coefficients of the Fourier Serie of each echo obtained from the sensor. The Network is trained by Backpropagation algorithm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.