A learning algorithm for piecewise linear regression (Contributo in atti di convegno)

Type
Label
  • A learning algorithm for piecewise linear regression (Contributo in atti di convegno) (literal)
Anno
  • 2002-01-01T00:00:00+01:00 (literal)
Alternative label
  • G. Ferrari-Trecate, M. Muselli, D. Liberati, M. Morari (2002)
    A learning algorithm for piecewise linear regression
    in 12th Italian Workshop on Neural Nets, Vietri sul Mare, Italy, 17-19 May 2001
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • G. Ferrari-Trecate, M. Muselli, D. Liberati, M. Morari (literal)
Pagina inizio
  • 114 (literal)
Pagina fine
  • 119 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Neural Nets: WIRN Vietri-01 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • G. Ferrari-Trecate, M. Morari: ETH Zurich, ETL, Inst Automat, CH-8092 Zurich, Switzerland M. Muselli, D. Liberati: CNR-IEIIT, Genova, Italy (literal)
Titolo
  • A learning algorithm for piecewise linear regression (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 1-85233-505-X (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • M. Marinaro, R. Tagliaferri (literal)
Abstract
  • A new learning algorithm for solving piecewise linear regression problems is proposed. It is able to train a proper multilayer feedforward neural network so as to reconstruct a target function assuming a different linear behavior on each set of a polyhedral partition of the input domain. The proposed method combine local estimation, clustering in weight space, classification and regression in order to achieve the desired result. A simulation on a benchmark problem shows the good properties of this new learning algorithm. (literal)
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