Prediction of housing deficit in Mérida, Venezuela, by artificial neural networks
This work combines the tools of Radial Basis Function (RBF) and Multivariate Analysis to predict insufficient housing supply in the state of Merida, Venezuela. An alternative indicator to the commonly one used was built in order to evaluate this phenomenon. Data covering the number of families at the same house, house property, overcrowding level, housing physical condition, and public utilities condition were extracted from The Household Sampling Survey (HSS), 1994-2005. It is outstanding that RBF showed an acceptable level of effectiveness and capacity of adapting itself to this kind of problem. In general, results obtained during training and generalization stages reached very low average quadratic errors, a good level of success in the prognosis and robustness of the trained models.
Volume (Year): 35 (2010)
Issue (Month): 29 (January-june)
|Contact details of provider:|| Postal: Facultad de Ciencias Económicas y Sociales. Instituto de Investigaciones Económicas y Sociales. Campus Universitario Liria, Edificio G, Tercer Nivel. Mérida 5101, Estado Mérida, Venezuela|
Phone: +58 74 401111 ext. 1081
Fax: +58 74 401120
Web page: http://iies.faces.ula.ve/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ula:econom:v:35:y:2010:i:29:p:109-140. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alexis Vásquez)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.