Metadaten
Recommended Citation
Debes K, Koenig A, Gross H (2005). Transfer Functions in Artificial Neural Networks - A Simulation-Based Tutorial. Brains, Minds and Media, Vol. 2005, bmm151. (urn:nbn:de:0009-3-1515)BibTeX
@Article{Debes:2005,
author = "Klaus Debes, Alexander Koenig, Horst-Michael Gross",
title = "Transfer Functions in Artificial Neural Networks - A Simulation-Based Tutorial",
journal = "Brains, Minds and Media",
number = "1",
year = "2005"
}
Full Metadata
| Bibliographic Citation | Brains, Minds and Media, Volume 2005, Number 1 (2005-07-04) | |||
|---|---|---|---|---|
| Title | Transfer Functions in Artificial Neural Networks - A Simulation-Based Tutorial (eng) | |||
| Author | Klaus Debes, Alexander Koenig, Horst-Michael Gross | |||
| Language | eng | |||
| Abstract | Artificial neural networks are based on computational units that resemble basic information processing properties of biological neurons in an abstract and simplified manner. Generally, these formal neurons model an input-output behaviour as it is also often used to characterize biological neurons. The neuron is treated as a black box; spatial extension and temporal dynamics present in biological neurons are most often neglected. Even though artificial neurons are simplified, they can show a variety of input-output relations, depending on the transfer functions they apply. This unit on transfer functions provides an overview of different transfer functions and offers a simulation that visualizes the input-output behaviour of an artificial neuron depending on the specific combination of transfer functions. | |||
| Subject | ANN, activation function, output function, education, simulation | |||
| Classified Subjects | ddc: Neuroinformatics (N3985) | |||
| DDC | 004 | 570 | 500 | |
| Rights | DPPL | |||
| URN | urn:nbn:de:0009-3-1515 | |||
| DOI |
ebook "Neural Networks as Cybernetic Systems" (3rd edition)