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