Abstract
An introduction to multi-layer perceptron artificial neural networks is presented. The optimization of the relevant network parameters using backpropagation of errors is discussed. Applications to non-linear problems using the MVC1 software are illustrated with appropriate examples. Figures of merit for calibration with MLP models are included.
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Olivieri, A.C. (2024). Non-linearity and Artificial Neural Networks. Multi-layer Perceptron. In: Introduction to Multivariate Calibration. Springer, Cham. https://doi.org/10.1007/978-3-031-64144-2_14
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DOI: https://doi.org/10.1007/978-3-031-64144-2_14
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