Results 41 to 50 of about 10,487,885 (363)
Window functions and sigmoidal behaviour of memristive systems [PDF]
International Journal of Circuit Theory and Applications, 2016 SummaryA common approach to model memristive systems is to include empirical window functions to describe edge effects and nonlinearities in the change of the memristance. We demonstrate that under quite general conditions, each window function can be associated with a sigmoidal curve relating the normalised time‐dependent memristance to the time ...
Georgiou, PS +3 more
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The approximation operators with sigmoidal functions
Computers & Mathematics with Applications, 2009 AbstractThe aim of this paper is to investigate the error which results from the method of approximation operators with logarithmic sigmoidal function. By means of the method of extending functions, a class of feed-forward neural network operators is introduced.
Feilong Cao, Zhixiang Chen
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Making Risk Minimization Tolerant to Label Noise [PDF]
, 2015 In many applications, the training data, from which one needs to learn a classifier, is corrupted with label noise. Many standard algorithms such as SVM perform poorly in presence of label noise.
Ghosh, Aritra +2 more
core +1 more source
AIMS Mathematics, 2021 The main objective of the present article is to define the class of bounded turning functions associated with modified sigmoid function. Also we investigate and determine sharp results for the estimates of four initial coefficients, Fekete-Szegö ...
Muhammad Ghaffar Khan +4 more
semanticscholar +1 more source
MATEC Web of Conferences, 2018 In order to solve the problem of obstacle avoidance of ship in restricted waters, a type of path planning method for obstacle avoidance based on sigmoid function was designed.
Zhao Yue +5 more
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Kongzhi Yu Xinxi Jishu, 2022 Small wind power generation systems have the characteristics of nonlinear strong coupling and the application requirements of small weight and low cost.
WANG Hongru, ZHANG Zhigang
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Univariant Approximation by Superpositions of a Sigmoidal Function
Journal of Mathematical Analysis and Applications, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
B. Gao, Yuan Xu
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SinLU: Sinu-Sigmoidal Linear Unit
Mathematics, 2022 Non-linear activation functions are integral parts of deep neural architectures. Given the large and complex dataset of a neural network, its computational complexity and approximation capability can differ significantly based on what activation function
Ashis Paul +4 more
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Qanun Medika: Jurnal Kedokteran Fakultas Kedokteran Universitas Muhammadiyah Surabaya, 2020 Background: The Mayer–Rokitansky–Kuster–Hauser (MRKH) syndrome is congenital malformation due to utero‐vaginal agenesis. For many years Dr Soetomo Hospital has been applying McIndoe technique using biomaterial amnion.
Uning Marlina +4 more
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Optimal Performance and Application for Seagull Optimization Algorithm Using a Hybrid Strategy
Entropy, 2022 This paper aims to present a novel hybrid algorithm named SPSOA to address problems of low search capability and easy to fall into local optimization of seagull optimization algorithm.
Qingyu Xia +5 more
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