Estimating gas-turbine NOx from operating measurements

Version: 2026-09-21

The prepared dataset contains 36,733 records from the UCI Gas Turbine CO and NOx Emission dataset. The supplied final model retains ten inputs and selects ten hidden neurons. It was trained with the Quasi-Newton method recorded in the new report.

The saved split does not establish transfer to future years or another turbine. Use time-blocked or equipment-level validation, review sensor quality and evaluate extreme regimes. A directional response holds other variables fixed and is not a physically validated operating intervention or a compliance instrument.

Open the .nd project in Neural Designer. Its embedded data, parameters, saved sample roles and task report are preserved. If the original CSV path is unavailable, select the CSV included here. The source CSV may include unused columns; the embedded project defines the exact modelling schema.

The charts/ directory contains standalone HTML exported with the application chart builder. The schema and test-metrics files identify the exact inputs, outputs, evidence and source hash.

Dataset source: https://doi.org/10.24432/C5WC95
Retain the source attribution and its applicable dataset terms.

The original HTML expression is included unchanged. native-model.js contains the same mathematical functions extracted from it.
