DocumentCode
3310738
Title
An application of artificial neural networks and genetic algorithms to personnel selection in the financial industry
Author
Gargano, Michael L. ; Marose, Robert A. ; Von Kleeck, Larry
Author_Institution
Pace Univ., New York, NY, USA
fYear
1991
fDate
9-11 Oct 1991
Firstpage
257
Lastpage
262
Abstract
Personnel selection in the financial industry can improve the performance of this critical corporate resource when done properly. This paper introduces a neural net classifier to aid this selection process. A novel application of a genetic algorithm to speed up the neural learning process is presented
Keywords
financial data processing; genetic algorithms; learning (artificial intelligence); neural nets; personnel; financial industry; genetic algorithm; neural learning process; neural net classifier; personnel selection; Application software; Artificial neural networks; Computer industry; Financial management; Genetic algorithms; Industrial control; Industrial economics; Industrial training; Intelligent networks; Personnel;
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.1991.236592
Filename
236592
Link To Document