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Nonlinear Neural Network and Linear Differential Equation Based Hybrid Modeling of Türkiye’s Gross Domestic Product per Capita (1960–2024)
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Intelligent forecasting of economic growth for developing economies
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Forecasting Gross Domestic Product per Capita Using Artificial Neural Networks with Non-Economical Parameters
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Neural Networks for Pattern Recognition
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MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE EXPRESSION DATA
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Machine Learning Methods That Economists Should Know About
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Dynamic Keynesian Model of Economic Growth with Memory and Lag
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Non-Linear Macroeconomic Models of Growth with Memory
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Development of per Capita GDP Forecasting Model Using Deep Learning: Including Consumer Goods Index and Unemployment Rate
inferredcites →https://doi.org/10.3934/math.2021594openalex-snapshot
Application of fractional differential equation in economic growth model: A systematic review approach
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