Using neural networks to predict microspatial economic growth
Year of publication: |
2022
|
---|---|
Authors: | Khachiyan, Arman ; Thomas, Anthony ; Zhou, Huye ; Hanson, Gordon H. ; Cloninger, Alex ; Rosing, Tajana ; Khandelwal, Amit |
Published in: |
American Economic Review Insights. - Nashville, TN : American Economic Association, ISSN 2640-2068, ZDB-ID 2957500-X. - Vol. 4.2022, 4, p. 491-506
|
Subject: | Neuronale Netze | Neural networks | Wirtschaftswachstum | Economic growth | Prognoseverfahren | Forecasting model | Theorie | Theory |
Description of contents: | Description [aeaweb.org] |
-
Forecasting public expenditure by using feed-forward neural networks
Magdalena, Radulescu, (2015)
-
Neural network analysis in forecasting the Malaysian GDP
Nur Azura Sanusi, (2020)
-
An artificial neural network system of leading indicators
Blake, Andrew P., (1999)
- More ...
-
Using Neural Networks to Predict Micro-Spatial Economic Growth
Khachiyan, Arman, (2021)
-
Detecting urban markets with satellite imagery : an application to India
Vogel, Kathryn Baragwanath, (2018)
-
Using satellite imagery to detect the impacts of new highways : an application to India
Vogel, Kathryn Baragwanath, (2024)
- More ...