Merging Strategy for Local Model Networks Based on the Lolimot Algorithm

  • Torsten Fischer
  • Oliver Nelles
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8681)


In this paper an extension of the established training algorithm for nonlinear system identification called Lolimot is presented [9]. It is a heuristic tree-construction method that trains a local linear neuro-fuzzy network. Due to its very simple partitioning strategy, Lolimot is a fast and robust modeling approach, but has a limited flexibility. Therefore a new merging approach for regression tasks is presented, that can rearrange the local model structure in the input space, without harming the global model complexity.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Torsten Fischer
    • 1
  • Oliver Nelles
    • 1
  1. 1.Department of Mechanical EngineeringUniversity SiegenSiegenGermany

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