Gaussian Transfer Functions
Gaussian Transfer Functions is a class of smooth, bell-shaped transfer functions used in signal processing and neural networks that are distinguished by their formulation based on the Gaussian probability density function, enabling localized, continuous, and differentiable mappings between input and output spaces.
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2017–2026
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Christopher B. Perry, Manuel A. Fernandes, Kenneth L. Brown et al. · European Journal of Inorganic Chemistry · 2003 · 41 citations
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Linköping University
Linköping, Sweden
2 h-index
6 publications
1.4K citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
165 citations

Western University
London, Canada
2 h-index
5 publications
152 citations
Finland University
Helsinki, Finland
1 h-index
1 publications
10 citations

University of Exeter
Exeter, United Kingdom
1 h-index
1 publications
22 citations
Science Applications International Corporation (United States)
McLean, United States
1 h-index
1 publications
27 citations

Delft University of Technology
Delft, The Netherlands
1 h-index
3 publications
45 citations
Robarts Clinical Trials
London, Canada
1 h-index
3 publications
192 citations
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1 publications · 41 citations
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JOSA · 1 publications · 10 citations
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1 publications · 12 citations
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1 publications · 35 citations
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