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Forecasting public expenditure by using feed-forward neural networks

Magdalena, Radulescu; Logica, Banica; Zamfiroiu, Tatiana - In: Economic research 28 (2015) 1, pp. 668-686

Persistent link: https://www.econbiz.de/10012220779

Neural network analysis in forecasting the Malaysian GDP

Nur Azura Sanusi; Adzie Faraha Moosin; Suhal Kusairi - In: Journal of Asian finance, economics and business : JAFEB 7 (2020) 12, pp. 109-114

Persistent link: https://www.econbiz.de/10012671989

An artificial neural network system of leading indicators

Blake, Andrew P. (contributor) - 1999 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001557936

Application of artificial neural networks in tendency forecasting of economic growth

Feng, Lihua; Zhang, Jianzhen - In: Economic modelling 40 (2014), pp. 76-80

Persistent link: https://www.econbiz.de/10010425731

Forecasting Economic Growth Using an Artificial Neural Network Model

Pradhan, Rudra Prakash - 2008

The paper employs Artificial Neural Network (ANN) to forecast India's economic growth. Using the data set, during 1980 …-2005, it finds that ANN is an effective tool to forecast the economic growth. The ANN gives the evidence that there is … comparison between ANN model and Linear Regression Model (LRM) to forecast the economic growth. The results confirmed that ANN …

Persistent link: https://www.econbiz.de/10012770336

Artificial neural network regression models in a panel setting : predicting economic growth

Jahn, Malte - In: Economic modelling 91 (2020), pp. 148-154

Persistent link: https://www.econbiz.de/10012429029

Intelligent forecasting of economic growth for developing economies

Chuku, Chuku Agbai; Simpasa, Anthony Musonda; Oduor, Jacob - In: International economics : a journal published by CEPII … 159 (2019), pp. 74-93

Persistent link: https://www.econbiz.de/10012318821

Artificial neural network regression models : predicting GDP growth

Jahn, Malte - 2018

Artificial neural networks have become increasingly popular for statistical model fitting over the last years, mainly due to increasing computational power. In this paper, an introduction to the use of artificial neural network (ANN) regression models is given. The problem of predicting the GDP...

Persistent link: https://www.econbiz.de/10011897260

Comparing out-of-sample performance of machine learning methods to forecast U.S. GDP growth

Chu, Ba; Qureshi, Shafiullah - In: Computational economics 62 (2023) 4, pp. 1567-1609

Persistent link: https://www.econbiz.de/10014437505

Using neural networks to predict microspatial economic growth

Khachiyan, Arman; Thomas, Anthony; Zhou, Huye; Hanson, … - In: American Economic Review Insights 4 (2022) 4, pp. 491-506

Persistent link: https://www.econbiz.de/10014230258

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