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Multilayer Perceptron (MLP)

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Geomatic Approaches for Modeling Land Change Scenarios

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

Artificial Neural networks have been found to be outstanding tools able to generate generalizable models in many disciplines. In this technical note, we present the multi-layer perceptron (MLP) which is the most common neural network.

See Chap. 2 about calibration.

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References

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Correspondence to H. Taud .

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Taud, H., Mas, J. (2018). Multilayer Perceptron (MLP). In: Camacho Olmedo, M., Paegelow, M., Mas, JF., Escobar, F. (eds) Geomatic Approaches for Modeling Land Change Scenarios. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-60801-3_27

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