Feed-Forward Neural Networks

  • Michel Denuit
  • Donatien Hainaut
  • Julien Trufin
Part of the Springer Actuarial book series (SPACT)


This chapter introduces the general features of artificial neural networks. After a presentation of the mathematical neural cell, we focus on feed-forward networks. First, we discuss the preprocessing of data and next we present a survey of the different methods for calibrating such networks. Finally, we apply the theory to an insurance data set and compare the predictive power of neural networks and generalized linear models.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Michel Denuit
    • 1
  • Donatien Hainaut
    • 2
  • Julien Trufin
    • 3
  1. 1.Université Catholique LouvainLouvain-la-NeuveBelgium
  2. 2.Université Catholique de LouvainLouvain-la-NeuveFrance
  3. 3.Université Libre de BruxellesBrusselsBelgium

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