Thumbnail
Access Restriction
Subscribed

Author Imberman, Susan P.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2004
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Artificial intelligence ♦ Back propagation ♦ Handy board ♦ Neural networks ♦ Robotics
Abstract In this article we describe a project for an undergraduate artificial intelligence class. The project teaches neural networks using LEGO® handy board robots. Students construct robots with two motors and two photosensors. Photosensors provide readings that act as inputs for the neural network. Output values power the motors and maintain the robot along the designated path. In doing this project, students come to realize the difference between training a neural network and the trained neural network. The fun factor associated with this project has encouraged students to elect artificial intelligence as part of their course of study.
ISSN 15314278
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2004-09-01
Publisher Place New York
e-ISSN 15314278
Journal Journal on Educational Resources in Computing (JERIC)
Volume Number 4
Issue Number 3


Open content in new tab

   Open content in new tab
Source: ACM Digital Library