A Hybrid HSIC-ACO algorithm for Variable Selection in Process Engineering

Abstract

Recently, data mining and machine learning techniques have been increasingly applied in process engineering. Various successful applications include fault detection and development of data driven models. While fault detection is useful for steady operation of the plant, data driven models can be employed for robust prediction of structure activity… (More)

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