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

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. >