On the public citation graph
Artificial neural network regression models: Predicting GDP growth
0 signed · 14 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/nav.21929openalex-snapshot
Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks
inferred← citeshttps://doi.org/10.1016/j.jrras.2025.101481openalex-snapshot
Modelling on gross domestic product annual growth rate data by using time series, machine learning, and probability models
inferred← citeshttps://doi.org/10.1088/1742-6596/1339/1/012040openalex-snapshot
Predicting GDP of Indonesia Using K-Nearest Neighbour Regression
inferred← citeshttps://doi.org/10.1109/idaacs53288.2021.9660856openalex-snapshot
Artificial Neural Networks in Export and Import Forecasting: An Analysis of Opportunities
inferred← citeshttps://doi.org/10.1109/isriti51436.2020.9315519openalex-snapshot
Prediction of Gross Domestic Product (GDP) in Indonesia Using Deep Learning Algorithm
inferred← citeshttps://doi.org/10.12681/eadd/49019openalex-snapshot
Management of cellular broadband networks by means of machine learning techniques
inferred← citeshttps://doi.org/10.1590/0102-77863540072openalex-snapshot
Estimating Potential Evapotranspiration in Maranhão State Using Artificial Neural Networks
inferred← citeshttps://doi.org/10.22452/josma.vol5no2.4openalex-snapshot
Predicting Indonesia’s Gross Domestic Product (GDP): A Comparative Analysis of Regression and Machine Learning Models
inferred← citeshttps://doi.org/10.26466/opus.885417openalex-snapshot
Ekonomik Güven Endeksi ve Ekonomik Büyüme İlişkisi: Yapay Sinir Ağları ile Türkiye Örneği Öngörüsü
inferred← citeshttps://doi.org/10.2991/978-94-6463-471-6_56openalex-snapshot
Predictive Analysis Of Indian GDP Using Machine Learning Algorithms
inferred← citeshttps://doi.org/10.2991/aebmr.k.220307.315openalex-snapshot
Predicting Impact of COVID-19 on the Global Economy Based on Hybrid Model
inferred← citeshttps://doi.org/10.47191/ijsshr/v6-i3-59openalex-snapshot
Modelling the Gross Domestic Product and the Per Capita Income of Türkiye using Autoregressive Deep Learning Networks
inferred← citeshttps://doi.org/10.53106/199115992022103305004openalex-snapshot
Predicting Credit Accessibility Based on Social Capital and Artificial Intelligence
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.