Advertisement

Interpretability of Hinging Hyperplanes

  • Tamás KeneseiEmail author
  • János Abonyi
Chapter
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

The hinging hyperplane model was proposed by Breiman [20]. This type of nonlinear model is often referenced in the literature since it suffers from convergency and range problems [19, 33–35]. Methods such as a penalty of the hinging angle were proposed to improve Breiman’s algorithm [18]; alternatively, the Gauss-Newton algorithm can be used to obtain the final nonlinear model [34]. Several application examples have also been published in the literature; e.g., it can be used in the identification of piecewise affine systems via mixed-integer programming [36], and this model also lends itself to forming hierarchical models [19].

Keywords

Regression Tree Model Predictive Control Membership Degree Quadratic Cost Function Hammerstein Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© The Author(s) 2015

Authors and Affiliations

  1. 1.Department of Process EngineeringUniversity of PannoniaVeszprémHungary

Personalised recommendations