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Soboleva modified hyperbolic tangent

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The Soboleva modified hyperbolic tangent, also known as (parametric) Soboleva modified hyperbolic tangent activation function ([P]SMHTAF),[nb 1] is a special S-shaped function based on the hyperbolic tangent, given by

Equation Left tail control Right tail control
smhtx=eaxebxecx+edx.

History

This function was originally proposed as "modified hyperbolic tangent"[nb 1] by Ukrainian scientist Elena V. Soboleva (Елена В. Соболева) as a utility function for multi-objective optimization and choice modelling in decision-making.[1][2][3]

Practical usage

The function was used in economics for modelling consumption and investment,[4] to approximate current-voltage characteristics of field-effect transistors and light-emitting diodes,[5] and analyze plasma temperatures and densities in the divertor region of fusion reactors.[6]

Sensitivity to parameters

Derivative of the function is defined by the formula:

smht(x)aeax+bebxecx+edxsmht(x)cecxdedxecx+edx

The following conditions are keeping the function limited on y-axes: ac, bd.

A family of recurrence-generated parametric Soboleva modified hyperbolic tangent activation functions (NPSMHTAF, FPSMHTAF) was studied with parameters a = c and b = d.[citation needed] It is worth noting that in this case, the function is not sensitive to flipping the left and right-sides parameters:

Equation Left prevalence Right prevalence
eaxebxeax+ebx=ebxeaxebx+eax

The function is sensitive to ratio of the denominator coefficients and often is used without coefficients in the numerator:

Equation Basic chart Scaled function
sshtx=exexeαx+eβx.

Extremum estimates: xmin=12lnβ1β+1; xmax=12lnα+1α1.

With parameters a = b = c = d = 1 the modified hyperbolic tangent function reduces to the conventional tanh(x) function, whereas for a = b = 1 and c = d = 0, the term becomes equal to sinh(x).

See also

Notes

  1. 1.0 1.1 Soboleva proposed the name "modified hyperbolic tangent" (mtanh, mth), but since other authors used this name also for other functions, some authors have started to refer to this function as "Soboleva modified hyperbolic tangent".

References

  1. Soboleva, Elena Vladimirovna; Beskorovainyi, Vladimir Valentinovich (2008). The utility function in problems of structural optimization of distributed objects Функция для оценки полезности альтернатив в задачах структурной оптимизации территориально распределенных объектов. Четверта наукова конференція Харківського університету Повітряних Сил імені Івана Кожедуба, 16–17 квітня 2008 (The fourth scientific conference of the Ivan Kozhedub Kharkiv University of Air Forces, 16–17 April 2008) (in русский). Kharkiv, Ukraine: Kharkiv University of Air Force (HUPS/ХУПС). p. 121.
  2. Soboleva, Elena Vladimirovna (2009). S-образная функция полезности част-ных критериев для многофакторной оценки проектных решений [The S-shaped utility function of individual criteria for multi-objective decision-making in design]. Материалы XIII Международного молодежного форума «Радиоэлектро-ника и молодежь в XXI веке» (Materials of the 13th international youth forum "Radioelectronics and youth in the 21st century") (in русский). Kharkiv, Ukraine: Kharkiv National University of Radioelectronics (KNURE/ХНУРЕ). p. 247.
  3. Beskorovainyi, Vladimir Valentinovich; Soboleva, Elena Vladimirovna (2010). ИДЕНТИФИКАЦИЯ ЧАСТНОй ПОлЕЗНОСТИ МНОГОФАКТОРНЫХ АлЬТЕРНАТИВ С ПОМОЩЬЮ S-ОБРАЗНЫХ ФУНКЦИй [Identification of utility functions in multi-objective choice modelling by using S-shaped functions] (PDF). Problemy Bioniki: Respublikanskij Mežvedomstvennyj Naučno-Techničeskij Sbornik (in русский). Vol. 72 no. 1. Kharkiv National University of Radioelectronics (KNURE/ХНУРЕ). pp. 50–54. ISSN 0555-2656. UDK 519.688: 004.896. Archived from the original (PDF) on 2022-06-21. Retrieved 2020-06-19. Unknown parameter |url-status= ignored (help); Unknown parameter |trans-magazine= ignored (help); Unknown parameter |script-magazine= ignored (help) (5 pages) [1]
  4. Orlando, Giuseppe (2016-07-01). "A discrete mathematical model for chaotic dynamics in economics: Kaldor's model on business cycle". Mathematics and Computers in Simulation. 125: 83–98. doi:10.1016/j.matcom.2016.01.001. ISSN 0378-4754.
  5. Tuev, Vasily I.; Uzhanin, Maxim V. (2009). ПРИМЕНЕНИЕ МОДИФИЦИРОВАННОЙ ФУНКЦИИ ГИПЕРБОЛИЧЕСКОГО ТАНГЕНСА ДЛЯ АППРОКСИМАЦИИ ВОЛЬТАМПЕРНЫХ ХАРАКТЕРИСТИК ПОЛЕВЫХ ТРАНЗИСТОРОВ [Using modified hyperbolic tangent function to approximate the current-voltage characteristics of field-effect transistors] (in русский). Tomsk, Russia: Tomsk Politehnic University (TPU/ТПУ). pp. 135–138. No. 4/314. Archived from the original on 2017-08-15. Retrieved 2015-11-05. Unknown parameter |url-status= ignored (help) Search this book on (4 pages) [2]
  6. Rubino, Giulio (2018-01-15). Power Exhaust Data Analysis and Modeling Of Advanced Divertor Configuration (Thesis). Joint Research Doctorate In Fusion Science And Engineering Cycle XXX (in English, italiano, and português). Padova, Italy: Centro Ricerche Fusione (CRF), Università degli Studi di Padova / Università degli Studi di Napoli Federico II / Instituto Superior Técnico (IST), Universidade de Lisboa. p. 84. ID 10811. Archived from the original (PDF) on 2020-06-19. Retrieved 2020-06-19. Unknown parameter |orig-date= ignored (help); Unknown parameter |url-status= ignored (help) Search this book on (2+viii+3*iii+102 pages)

Further reading


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