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Sigmoid function
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== References == {{reflist|refs= <ref name="yibei">{{cite journal |title=Entropic analysis of biological growth models |author-last1=Ling|author-first1=Yibei |author-first2=Bin |author-last2=He |date=December 1993 |journal=[[IEEE Transactions on Biomedical Engineering]] |volume=40 |issue=12 |pages=1193β2000 |doi=10.1109/10.250574|pmid=8125495|url=https://ieeexplore.ieee.org/document/250574}}</ref> <ref name="Han-Morag_1995">{{Cite book |title=From Natural to Artificial Neural Computation |author-last1=Han |author-first1=Jun |author-last2=Morag |author-first2=Claudio |volume=930 |chapter=The influence of the sigmoid function parameters on the speed of backpropagation learning |editor-last1=Mira |editor-first1=JosΓ© |editor-last2=Sandoval |editor-first2=Francisco |pages=[https://archive.org/details/fromnaturaltoart1995inte/page/195 195β201] |date=1995 |doi=10.1007/3-540-59497-3_175 |series=Lecture Notes in Computer Science |isbn=978-3-540-59497-0 |chapter-url=https://archive.org/details/fromnaturaltoart1995inte/page/195}}</ref> <ref name="Dunning-Kensler-Coudeville-Bailleux_2015">{{cite journal |title=Some extensions in continuous methods for immunological correlates of protection |author-last1=Dunning |author-first1=Andrew J. |author-first2=Jennifer |author-last2=Kensler |author-first3=Laurent |author-last3=Coudeville |author-first4=Fabrice |author-last4=Bailleux |journal=[[BMC Medical Research Methodology]] |date=2015-12-28 |volume=15 |issue=107 |page=107 |doi=10.1186/s12874-015-0096-9 |pmid=26707389 |pmc=4692073 |doi-access=free }}</ref> <ref name="Gibbs_2000">{{cite journal |title=Variational Gaussian process classifiers |author-last1=Gibbs |author-first1=Mark N. |author-first2=D. |author-last2=Mackay |date=November 2000 |journal=[[IEEE Transactions on Neural Networks]] |volume=11 |issue=6 |pages=1458β1464 |doi=10.1109/72.883477 |pmid=18249869 |s2cid=14456885 }}</ref> <ref name="Smith_2010">{{cite book |title=Physical Audio Signal Processing |author-last=Smith |author-first=Julius O. |date=2010 |publisher=W3K Publishing |isbn=978-0-9745607-2-4 |edition=2010 |url=https://ccrma.stanford.edu/~jos/pasp/Soft_Clipping.html |access-date=2020-03-28 |url-status=live |archive-url=https://web.archive.org/web/20220714165138/https://ccrma.stanford.edu/~jos/pasp/Soft_Clipping.html |archive-date=2022-07-14}}</ref> <ref name="Gustafson-Yonemoto_2017">{{cite web |title=Beating Floating Point at its Own Game: Posit Arithmetic |author-first1=John L. |author-last1=Gustafson |author-link1=John L. Gustafson |author-first2=Isaac |author-last2=Yonemoto |date=2017-06-12 |url=http://www.johngustafson.net/pdfs/BeatingFloatingPoint.pdf |access-date=2019-12-28 |url-status=live |archive-url=https://web.archive.org/web/20220714164957/http://www.johngustafson.net/pdfs/BeatingFloatingPoint.pdf |archive-date=2022-07-14}}</ref> <ref name="grex">{{cite web |title=grex --- Growth-curve Explorer |website=[[GitHub]] |date=9 July 2022 |url=https://github.com/ogarciav/grex |access-date=2022-08-25 |url-status=live |archive-url=https://web.archive.org/web/20220825202325/https://github.com/ogarciav/grex |archive-date=2022-08-25}}</ref> }}
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