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conference paper
A Learning Algorithm for Piecewise Linear Regression
Marinaro, M.
•
Tagliaferri, R.
2001
Neural Nets WIRN Vietri-01
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.
Type
conference paper
Authors
Ferrari-Trecate, G.
•
Muselli, M.
•
Liberati, D.
•
Morari, M.
Editors
Marinaro, M.
•
Tagliaferri, R.
Publication date
2001
Publisher
Published in
Neural Nets WIRN Vietri-01
ISBN of the book
185233505X
Publisher place
London
Start page
114
End page
119
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Vietri sul Mare, Salerno, Italy | 17–19 May 2001 | |
Available on Infoscience
January 10, 2017
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