Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/111230
Title: Artificial intelligence R&D: The ISS strategy
Authors: Motiwalla, Juzar 
Heng, Teh Hoon 
Issue Date: 1990
Citation: Motiwalla, Juzar,Heng, Teh Hoon (1990). Artificial intelligence R&D: The ISS strategy : 647-650. ScholarBank@NUS Repository.
Abstract: The authors provide a survey of the artificial intelligence (AI) R&D projects undertaken by the Institute of Systems Science (ISS) of the National University of Singapore. They also describe ISS's AI R&D strategies as well as the AI tools developed for various industrial projects such as the Machine Translation project with IBM, the Connectionist Troubleshooting Expert System for an inertial navigation system with Singapore Airlines, and the fuzzy pattern recognition system for identifying container numbers with the Port Authority of Singapore.
URI: http://scholarbank.nus.edu.sg/handle/10635/111230
ISBN: 0818620846
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

98
checked on Sep 22, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.