학술논문
Non-iterative approaches in training feed-forward neural networks and their applications.
Document Type
Article
Author
Source
Subject
*FEEDFORWARD neural networks
*DEEP learning
*ALGORITHMS
*PROBLEM solving
*MACHINE learning
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Language
ISSN
1432-7643
Abstract
Focusing on non-iterative approaches in training feed-forward neural networks, this special issue includes 12 papers to share the latest progress, current challenges, and potential applications of this topic. This editorial presents a background of the special issue and a brief introduction to the 12 contributions. [ABSTRACT FROM AUTHOR]