"SPOCU": scaled polynomial constant unit activation function

Jozef Kiselak; Y. Lu; J. Svihra; P. Szepe; Milan Stehlik

doi:10.1007/s00521-020-05182-1

"SPOCU": scaled polynomial constant unit activation function

Jozef Kiselak
, Y. Lu
, J. Svihra
, P. Szepe
, Milan Stehlik

Department of Data Acquisition and Data Quality

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	3385-3401
Number of pages	17
Journal	Neural Computing and Applications
Volume	33
Issue number	8
DOIs	https://doi.org/10.1007/s00521-020-05182-1
Publication status	Published - Apr 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Fields of science

305907 Medical statistics
101018 Statistics
101024 Probability theory
101029 Mathematical statistics
102009 Computer simulation
102035 Data science
106007 Biostatistics
509 Other Social Sciences

Access to Document

10.1007/s00521-020-05182-1

Cite this

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title = "{"}SPOCU{"}: scaled polynomial constant unit activation function",

author = "Jozef Kiselak and Y. Lu and J. Svihra and P. Szepe and Milan Stehlik",

year = "2021",

month = apr,

doi = "10.1007/s00521-020-05182-1",

language = "English",

volume = "33",

pages = "3385--3401",

journal = "Neural Computing and Applications",

issn = "1433-3058",

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TY - JOUR

T1 - "SPOCU": scaled polynomial constant unit activation function

AU - Kiselak, Jozef

AU - Lu, Y.

AU - Svihra, J.

AU - Szepe, P.

AU - Stehlik, Milan

PY - 2021/4

Y1 - 2021/4

UR - http://www.jku.at/ifas

UR - https://www.scopus.com/pages/publications/85088638017

U2 - 10.1007/s00521-020-05182-1

DO - 10.1007/s00521-020-05182-1

M3 - Article

SN - 1433-3058

VL - 33

SP - 3385

EP - 3401

JO - Neural Computing and Applications

JF - Neural Computing and Applications

IS - 8

ER -

"SPOCU": scaled polynomial constant unit activation function

UN SDGs

Fields of science

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Other files and links

Applications of Statistical Methods

Modec (LIT) - Modeling complex dependencies: how to make strategic multicriterial decisions

Statistical Inference in Complex Situations

Cite this

"SPOCU": scaled polynomial constant unit activation function

UN SDGs

Fields of science

Access to Document

Other files and links

Projects

Applications of Statistical Methods

Modec (LIT) - Modeling complex dependencies: how to make strategic multicriterial decisions

Statistical Inference in Complex Situations

Cite this