Characterization of a two-parameter mixed-mode electrochemical behavior regime using neural networks

DOI10.1016/S0167-2789(00)00219-0zbMath1006.80502OpenAlexW2133104243MaRDI QIDQ5937260

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Publication date: 16 January 2002

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-2789(00)00219-0

zbMATH Keywords

neural networkseigenvalueselectrochemical systemsidentify bifurcation pointsmixed mode oscillationsstable and unstable periodic solutions

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Chemical kinetics in thermodynamics and heat transfer (80A30) Basic methods in thermodynamics and heat transfer (80M99)

Related Items (2)

Modelling the dynamics of nonlinear partial differential equations using neural networks ⋮ Model discovery of compartmental models with graph-supported neural networks

Uses Software

• ODESSA
• AUTO-86

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