[PDF][PDF] Comparing linear regression and artificial neural networks to forecast total productivity growth in Iran
A Aliahmadi, M Jafari-Eskandari… - … Journal of Information …, 2016 - researchgate.net
In the recent years we have seen widespread discussion about productivity. The most
common measures of productivity that are widely used by economists and business …
common measures of productivity that are widely used by economists and business …
[HTML][HTML] A hybrid neural network-based technique to improve the flow forecasting of physical and data-driven models: Methodology and case studies in Andean …
Study region The present study was conducted in the Machángara Alto and Chulco rivers,
which belong to the Paute basin in the provinces of Azuay and Cañar in southern Ecuador …
which belong to the Paute basin in the provinces of Azuay and Cañar in southern Ecuador …
Using deep learning neural networks to predict the knowledge economy index for developing and emerging economies
AR Andres, A Otero, VH Amavilah - Expert Systems with Applications, 2021 - Elsevier
Missing values and the inconsistency of the measures of the knowledge economy remain
vexing problems that hamper policy-making and future research in developing and …
vexing problems that hamper policy-making and future research in developing and …
Improving the predictive skills of hydrological models using a combinatorial optimization algorithm and artificial neural networks
Ensemble modelling is a numerical technique used to combine the results of a number of
different individual models in order to obtain more robust, better-fitting predictions. The main …
different individual models in order to obtain more robust, better-fitting predictions. The main …
Inflation forecasting in Pakistan using artificial neural networks
A Haider, MN Hanif - Pakistan economic and social review, 2009 - JSTOR
An artificial neural network (hence after, ANN) is an informationprocessing paradigm that is
inspired by the way biological nervous systems, such as the brain, process information. In …
inspired by the way biological nervous systems, such as the brain, process information. In …
Estimating China's trade with its partner countries within the Belt and Road Initiative using neural network analysis
K Dumor, L Yao - Sustainability, 2019 - mdpi.com
The Belt and Road Initiative (BRI) under the auspices of the Chinese government was
created as a regional integration and development model between China and her trade …
created as a regional integration and development model between China and her trade …
Coupling artificial neural networks with the artificial bee colony algorithm for global calibration of hydrological models
Hydrological models are widely used tools in water resources management. Their
successful application requires an efficient calibration of the model parameters. Nowadays …
successful application requires an efficient calibration of the model parameters. Nowadays …
[HTML][HTML] Forecasting Costa Rican inflation with machine learning methods
A Rodríguez-Vargas - Latin American Journal of Central Banking, 2020 - Elsevier
We present a first assessment of the predictive ability of machine learning methods for
inflation forecasting in Costa Rica. We compute forecasts using two variants of k-nearest …
inflation forecasting in Costa Rica. We compute forecasts using two variants of k-nearest …
Prediction of gross domestic product (GDP) in Indonesia using deep learning algorithm
S Sa'adah, MS Wibowo - 2020 3rd International Seminar on …, 2020 - ieeexplore.ieee.org
Growth Domestic Product (GDP) is the important factor to know the stability of financial
condition in a country. Regarding into GDP value could be known the economic condition …
condition in a country. Regarding into GDP value could be known the economic condition …
[HTML][HTML] Estimation of conventional and innovative models for Rwanda's GDP per capita: A comparative analysis of artificial neural networks and Box–Jenkins …
İ Yenilmez, F Mugenzi - Scientific African, 2023 - Elsevier
This study aims to model the time series data of Rwanda's GDP per capita using the Box–
Jenkins (BJ) approach as a conventional approach and artificial neural networks (ANNs) as …
Jenkins (BJ) approach as a conventional approach and artificial neural networks (ANNs) as …