An application of artificial neural networks and genetic algorithms to personnel selection in the financial industry

M.L. Gargano; R.A. Marose; L. von Kleeck

doi:10.1109/AIAWS.1991.236592

Proceedings First International Conference on Artificial Intelligence Applications on Wall Street

An application of artificial neural networks and genetic algorithms to personnel selection in the financial industry

Year: 1991, Pages: 257,258,259,260,261,262

DOI Bookmark: 10.1109/AIAWS.1991.236592

Authors

M.L. Gargano, Pace Univ., New York, NY, USA
R.A. Marose, Pace Univ., New York, NY, USA
L. von Kleeck, Pace Univ., New York, NY, USA

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.<>

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An application of artificial neural networks and genetic algorithms to personnel selection in the financial industry

Authors

Abstract

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