A Constrained Optimization based Extreme Learning Machine for noisy data regression
Most of the existing Artificial Intelligence (AI) models for data regression commonly assume that the data samples are completely clean without noise or worst yet, only the symmetrical noise is in considerations. However in the real world applications, this is often not the case. This paper addresse...
Main Authors: | , , |
---|---|
Format: | Article |
Published: |
Elsevier
2016
|
Subjects: |