local model networks
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Fighting the curse of dimensionality with local model networks

2019 ◽  
Vol 67 (10) ◽  
pp. 889-890
Author(s):  
Julian Belz
Keyword(s):  
Design Of Experiments ◽  
Curse Of Dimensionality ◽  
Local Model ◽  
Input Selection ◽  
Local Model Networks ◽  
Model Networks

Abstract This thesis is settled in the field of data-based modeling (identification) and specifically focuses on the weakening of the effects of the curse of dimensionality with local model networks (LMNs). The methods for fighting the curse of dimensionality originate from the fields of input selection and design of experiments (DoE).

Real-time capable nonlinear pantograph models using local model networks in state-space configuration

Mechatronics ◽  
2018 ◽  
Vol 50 ◽  
pp. 292-302 ◽  
Author(s):  
Clemens C. Maier ◽  
Alexander Schirrer ◽  
Martin Kozek
Keyword(s):  
State Space ◽  
Real Time ◽  
Local Model ◽  
Local Model Networks ◽  
Model Networks

scholarly journals Goal-oriented active learning with local model networks

2017 ◽  
Vol 6 (4) ◽  
pp. 785-796
Author(s):  
Julian Belz ◽  
Konrad Bamberger ◽  
Oliver Nelles ◽  
Thomas Carolus
Keyword(s):  
Active Learning ◽  
Local Model ◽  
Local Model Networks ◽  
Model Networks
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