Non-linear shrinking of linear model errors.

Runar Helin,Ulf Indahl,Oliver Tomic,Kristian Hovde Liland

Analytica chimica acta（2023）

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摘要

The paper presents a residual modelling scheme using modern neural network architectures. Furthermore, two novel extensions of residual modelling for classification tasks are proposed. The study is seen as a step towards explainable AI, with the aim of making data modelling using artificial neural networks more transparent.

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关键词

Deep learning,Hybrid model,Interpretation,Neural network,PLSR,Residual modelling

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