Real-Time Analysis of Flame Chemiluminescence Spectra for Equivalence Ratio and Gas Composition using Neural Network Approaches

This provided data is the original data, created and used for this study. 1) Raw data of flame chemiluminescence spectra for two datasets. ALLSPECTRA_RAW_SET1.mat ALLSPECTRA_RAW_SET2_VAL.mat SET1 was used for neural network training and validation. SET2 was used for testing. 2) MATLAB Code for K-fold Neural Network and pre trained neural network that was used in this study with SET1 Kfold_ANN.m NET_Kfold.mat 3) MATLAB Code for picking random conditions from SET2 and predicting SecondSetPrediction.m 4) MATLAB code for calculating different metrics (MAE, absolute deviations, R-squared, standardized absolute deviations) Metrics.m