DECISION SUPPORT SYSTEM FOR AFFORDABLE HOUSING

Deidre E. Paris

Abstract

This research used neural networks to develop a decision support system, and model the relationship between one’s living environment and residential satisfaction. Residential satisfaction was investigated at two affordable housing multifamily rental properties located in Atlanta, Georgia. The neural network was trained using data from Defoors Ferry Manor and the network was validated using data from Moores Mill. The neural network accurately categorized ninety-eight percent of the cases in the training set and ninety-three percent of the cases in the validation test set. This research represents a first attempt to use neural networking to model the relationship between one’s living environment and residential satisfaction.

References

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Paper Citation


in Harvard Style

E. Paris D. (2005). DECISION SUPPORT SYSTEM FOR AFFORDABLE HOUSING . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-19-8, pages 273-282. DOI: 10.5220/0002536502730282


in Bibtex Style

@conference{iceis05,
author={Deidre E. Paris},
title={DECISION SUPPORT SYSTEM FOR AFFORDABLE HOUSING},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2005},
pages={273-282},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002536502730282},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - DECISION SUPPORT SYSTEM FOR AFFORDABLE HOUSING
SN - 972-8865-19-8
AU - E. Paris D.
PY - 2005
SP - 273
EP - 282
DO - 10.5220/0002536502730282