Improved prediction of household expenditure by living standard measures via a unique neural network : the case of Iran
Ali Azadeh and Samaneh Davarzani (School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran), Azadeh Arjmand (Department of Industrial Engineering, College of Engineering, Al Zahra University, Tehran, Iran), Mansoureh Khakestani (Department of Industrial Engineering, College of Engineering, University of Bojnourd, Iran)
| Year of publication: |
2016
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|---|---|
| Authors: | Azadeh, Ali ; Davarzani, Samaneh ; Arjmand, Azadeh ; Khakestani, Mansoureh |
| Published in: |
International journal of productivity and quality management : IJPQM. - [Olney, Bucks] : Inderscience Enterprises, ISSN 1746-6474, ZDB-ID 2193376-5. - Vol. 17.2016, 2, p. 142-182
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| Subject: | household expenditure | living standards measures | LSM | regression models | artificial neural networks | ANN | genetic algorithms | GA | Neuronale Netze | Neural networks | Lebensstandard | Standard of living | Privater Konsum | Private consumption | Iran | Prognoseverfahren | Forecasting model | Theorie | Theory | Messung | Measurement | Regressionsanalyse | Regression analysis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011498192