Synergistic comparison of ANN and ANFIS predictive modeling with experimental electrochemical performance data in CO₂ conversion.

ABSTRACT: This work systematically evaluated CO₂ conversion performance metrics across the recent high-impact literature by focusing on five key inputs; applied potential (AP), catalyst loading (CL), composition (CO), support (SU) and electrolyte (EL) and two outputs; Faradaic efficiency (FE) and current density (CD). Dataset Sixty-four series were evaluated to generate predictive models for FE and CD. Residual plots showed a good fit along the fitted axis with deviations from normality being quite small, confirming linear relationships between input and output. Histograms have shown most of the errors were on the ranges - 0.8 to 0.8 for FE and - 4 to 4 for CD, thus confirming that the error was normally distributed and improving prediction reliability. Optimal electrode with reference to SN ratio w

SUBMITTER: Deepati AK 

PROVIDER: S-EPMC12855960 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature