DocumentCode :
3310909
Title :
Integrating neural networks and expert systems for merger and acquisition analysis
Author :
Lyons, Patrick J. ; Persek, Stephen C.
Author_Institution :
Dept. of Manage., St. John´´s Univ., Jamaica, NY, USA
fYear :
1991
fDate :
9-11 Oct 1991
Firstpage :
200
Lastpage :
205
Abstract :
Certain business applications contain knowledge where some rules are known explicitly and other rules are known implicitly by examples. For such applications, expert system technology can be used for the explicit rules and neural network technology can be used for the implicit rules. This paper presents a knowledge engineering methodology which integrates expert system technology, neural network technology and Lotus compatible worksheets. A merger and acquisition analysis is presented as a typical application
Keywords :
expert systems; financial data processing; knowledge engineering; neural nets; spreadsheet programs; Lotus compatible worksheets; business applications; company acquisition; company merger analysis; expert system; explicit rules; implicit rules; knowledge engineering methodology; neural network; Computer networks; Corporate acquisitions; Decision making; Expert systems; Knowledge based systems; Knowledge engineering; Knowledge management; Neural networks; Strategic planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence Applications on Wall Street, 1991. Proceedings., First International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-2240-7
Type :
conf
DOI :
10.1109/AIAWS.1991.236601
Filename :
236601
Link To Document :
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