Approximating and simulating the stochastic growth model: Parameterized expectations, neural networks, and the genetic algorithm

DOI10.1016/S0165-1889(99)00077-9zbMath0981.91069OpenAlexW2111029549MaRDI QIDQ5941340

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Publication date: 20 August 2001

Published in: Journal of Economic Dynamics \& Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1889(99)00077-9

zbMATH Keywords

neural networkgenetic algorithmexpectation functionone-sector stochastic growth model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Economic growth models (91B62)

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Uses Software

• Genocop

Cites Work

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