DocumentCode :
3092628
Title :
Neural network models of managerial judgment
Author :
Remus, William ; Hill, Tim
Author_Institution :
Hawaii Univ., Honolulu, HI, USA
Volume :
iv
fYear :
1990
fDate :
2-5 Jan 1990
Firstpage :
340
Abstract :
An experiment is presented which compares actual managerial decision-making, decisions based on neural network models, and decisions based on linear regression rules. Since neural networks are thought to be superior in the case of more complex decisions, two level of environmental complexity are also introduced into the study. The study makes use of data from subjects making a production-scheduling decision. The subject´s behavior is modeled with linear decision rules and several neural network models. The results for the experiment are not included in the paper because analysis was incomplete
Keywords :
management science; neural nets; scheduling; environmental complexity; linear decision rules; linear regression rules; managerial judgment; neural network models; production-scheduling decision; Biological neural networks; Biological system modeling; Conference management; Decision making; Humans; Mathematical model; Neural networks; Neurons; Production; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1990., Proceedings of the Twenty-Third Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI
Type :
conf
DOI :
10.1109/HICSS.1990.205276
Filename :
205276
Link To Document :
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