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This project forked from amolsalunkhe/chemtab
PAPER-1-IMAGES.pptx contains all the colored images All the other images come from the notebook ("PCDNN_PAPER1.ipynb"). The data needed is "NewData_flames_data_with_L1_L2_errors_CH4-AIR_with_trimming.txt" In the second cell of the Notebook change the following to wherever you place the data df = pd.read_csv('C:\\Users\\amol\\Documents\\PHD\\DISSERTATION\\NewData_flames_data_with_L1_L2_errors_CH4-AIR_with_trimming.txt') Experiment I (Zmix, Cpv) A. Training using only the data from the flames used by the framework i> Gaussian Process ii> DNN B. Training 50% random/scrambled data i> Gaussian Process ii> DNN Experiment II (Zmix, 4PCAs) A. Training using only the data from the flames used by the framework i> Gaussian Process ii> DNN B. Training 50% random/scrambled data i> Gaussian Process ii> DNN Experiment III (All Species) A. Training 50% random/scrambled data i> PC - DNN ii> Unconstrained - DNN Each of the experiment has a Error Residual Plot and the DNNs also may have a Training Loss Plot Naming convention for "Error Residual Plot" is as follows: Model Type: gp/dnn/pcdnn Error Observation: uncorrelated_errors/correlated_errors Input: zmix_cpv/zmix_pca/(all species is nothing) e.g. gpuncorrelated_errors_zmix_pca.png Tip: Run the GP Experiments the last it take a lot of time to run
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