A Novel Nonlinear Partial Least Square Integrated With Error-Based Extreme Learning Machine

A Novel Nonlinear Partial Least Square Integrated With Error-Based Extreme Learning Machine

This paper proposes a novel nonlinear partial least square (PLS) approach for dealing with the modeling problem of industrial processes with input variables in collinearity. The new method combines the external linear PLS framework with the internal extreme learning machine (ELM) function. First, PL...

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Bibliographic Details
Main Authors: Ze Dong, Ning Ma
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Nonlinear partial least square
extreme learn machine
weight update
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Online Access:https://ieeexplore.ieee.org/document/8693673/

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https://ieeexplore.ieee.org/document/8693673/

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