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Artificial Neural Network
Industrial Application
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Linear Model
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Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications
Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications,10.1109/COGINF.2010.5599677,Ivo Bukov
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Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications
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Ivo Bukovsky
,
Noriyasu Homma
,
Ladislav Smetana
,
Ricardo Rodriguez
,
Martina Mironovova
,
Stanislav Vrana
The paper discusses the quadratic neural unit (QNU) and highlights its attractiveness for industrial applications such as for plant modeling, control, and
time series
prediction. Linear systems are still often preferred in
industrial control
applications for their solvable and single solution nature and for the clarity to the most application engineers. Artificial neural networks are powerful cognitive nonlinear tools, but their nonlinear strength is naturally repaid with the
local minima
problem, overfitting, and high demands for applicationcorrect neural architecture and
optimization technique
that often require skilled users. The QNU is the important midpoint between linear systems and highly nonlinear neural networks because the QNU is relatively very strong in nonlinear approximation; however, its optimization and performance have fast and convexlike nature, and its mathematical structure and the derivation of the learning rules is very comprehensible and efficient for implementation.
Conference:
International Conference on Cognitive Informatics  ICCI(ieee)
, 2010
DOI:
10.1109/COGINF.2010.5599677
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