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Dtic Ada274715%3a Design Of A Computer Expert System For Adhesive Selection Using Artificial Intelligence Techniques by Defense Technical Information Center
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1DTIC ADA274715: Design Of A Computer Expert System For Adhesive Selection Using Artificial Intelligence Techniques
By Defense Technical Information Center
The Adhesives Section, Materials Technology Branch of the U.S. Army Armament Research, Development and Engineering Center was funded to design and build an expert system prototype capable of using artificial intelligence (AI) techniques to aid in the selection of a proper adhesive or sealant for Army materiel. The adhesives expert system prototype is designed to operate on an IBM-PC compatible 80486 computer have a minimum of four MB RAM and eight MB hard disc space. The system will operate using MS-DOS 5.0 Windows 3.1. Kappa PC version 2.1, a C-based application development and delivery environment for PC's by IntelliCorp, Inc. was identified as a suitable expert system shell program. The adhesives selector expert system (ASES) is currently being developed with this system using object-oriented programming techniques and rule based reasoning.
“DTIC ADA274715: Design Of A Computer Expert System For Adhesive Selection Using Artificial Intelligence Techniques” Metadata:
- Title: ➤ DTIC ADA274715: Design Of A Computer Expert System For Adhesive Selection Using Artificial Intelligence Techniques
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA274715: Design Of A Computer Expert System For Adhesive Selection Using Artificial Intelligence Techniques” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Meyler, Karen L - ARMY ARMAMENT RESEARCH DEVELOPMENT AND ENGINEERING CENTER PICATINNY ARSENAL NJ ARMAMENT ENGINEERING DIRECTORATE - *SOFTWARE ENGINEERING - *PROTOTYPES - *ADHESIVES - *EXPERT SYSTEMS - DELIVERY - MATERIEL - INTELLIGENCE - ENVIRONMENTS - ARMY - SELECTION - ARTIFICIAL INTELLIGENCE - WINDOWS - COMPUTERS - MATERIALS - REASONING - COMPUTER PROGRAMMING
Edition Identifiers:
- Internet Archive ID: DTIC_ADA274715
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 14.30 Mbs, the file-s for this book were downloaded 101 times, the file-s went public at Wed Mar 14 2018.
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