Non-iterative approaches in training feed-forward neural networks and their applications

Xizhao WANG; Weipeng CAO

doi:10.1007/s00500-018-3203-0

Non-iterative approaches in training feed-forward neural networks and their applications

Xizhao WANG^*, Weipeng CAO

^*Corresponding author for this work

Research output: Journal Publications › Editorial/Preface (Journal)

40 Citations (Scopus)

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.

Original language	English
Pages (from-to)	3473-3476
Number of pages	4
Journal	Soft Computing
Volume	22
Issue number	11
Early online date	23 Apr 2018
DOIs	https://doi.org/10.1007/s00500-018-3203-0
Publication status	Published - Jun 2018
Externally published	Yes

Bibliographical note

We would like to thank all the authors and reviewers for their contributions to this special issue. We also sincerely thank Prof. Antonio Di Nola, the Editor-in-Chief of Soft Computing, for his support to edit this special issue.

Keywords

Deep learning
Feed-forward neural networks
Neural networks with random weights
Non-iterative approaches

Access to Document

10.1007/s00500-018-3203-0

Cite this

@article{97edaae102874066b3ea93ef1a0092b7,

title = "Non-iterative approaches in training feed-forward neural networks and their applications",

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.",

keywords = "Deep learning, Feed-forward neural networks, Neural networks with random weights, Non-iterative approaches",

author = "Xizhao WANG and Weipeng CAO",

note = "We would like to thank all the authors and reviewers for their contributions to this special issue. We also sincerely thank Prof. Antonio Di Nola, the Editor-in-Chief of Soft Computing, for his support to edit this special issue.",

year = "2018",

month = jun,

doi = "10.1007/s00500-018-3203-0",

language = "English",

volume = "22",

pages = "3473--3476",

journal = "Soft Computing",

issn = "1432-7643",

publisher = "Springer-Verlag GmbH and Co. KG",

number = "11",

}

TY - JOUR

T1 - Non-iterative approaches in training feed-forward neural networks and their applications

AU - WANG, Xizhao

AU - CAO, Weipeng

N1 - We would like to thank all the authors and reviewers for their contributions to this special issue. We also sincerely thank Prof. Antonio Di Nola, the Editor-in-Chief of Soft Computing, for his support to edit this special issue.

PY - 2018/6

Y1 - 2018/6

N2 - 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.

AB - 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.

KW - Deep learning

KW - Feed-forward neural networks

KW - Neural networks with random weights

KW - Non-iterative approaches

UR - http://www.scopus.com/inward/record.url?scp=85045838326&partnerID=8YFLogxK

U2 - 10.1007/s00500-018-3203-0

DO - 10.1007/s00500-018-3203-0

M3 - Editorial/Preface (Journal)

AN - SCOPUS:85045838326

SN - 1432-7643

VL - 22

SP - 3473

EP - 3476

JO - Soft Computing

JF - Soft Computing

IS - 11

ER -

Non-iterative approaches in training feed-forward neural networks and their applications

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this