Predictive Modeling with Notion of Time

  • Mark HoogendoornEmail author
  • Burkhardt Funk
Part of the Cognitive Systems Monographs book series (COSMOS, volume 35)


This chapter focuses on supervised learning approaches that do take time into account explicitly. Times series approaches are explained as well as recurrent neural networks (including echo state networks). In addition, parameter optimization techniques that can be used to fine-tune more knowledge driven predictive temporal models (dynamical systems models) are discussed.

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceVrije Universiteit AmsterdamAmsterdamThe Netherlands
  2. 2.Institut für WirtschaftsinformatikLeuphana Universität LüneburgLüneburgGermany

Personalised recommendations