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What is Estimating Coal Free Swelling Index with ANN about?

This study investigates the estimation of the coal free swelling index (FSI) based on the chemical properties of coal using artificial neural networks (ANNs). A dataset of 200 samples was analyzed, revealing that nitrogen had the highest impact on FSI while fixed carbon had the least. The optimal ANN model achieved high correlation coefficients, indicating its effectiveness in predicting coal properties relevant to cokeability and combustion.

Author

filipedemacedopeixoto

Language

EN