Results 51 to 60 of about 10,610,136 (340)
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
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Transportation Safety and Environment, 2021 This paper investigates the problem of parameter identification for ship nonlinear Nomoto model with small test data, a nonlinear innovation-based identification algorithm is presented by embedding sigmoid function in the stochastic gradient algorithm.
Xianku Zhang +2 more
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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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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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Approximation of functions of finite variation by superpositions of a Sigmoidal function
Applied Mathematics Letters, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
MARINO, Giuseppe, LEWICKI G.
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Management of a Case of Colovesical Fistula with Fecaluria as First Sign [PDF]
, 2015 Introduction. Fecaluria and pneumaturia are the patognomonic signs of an abnormal communication between the bladder and the intestinal tract. Therefore, when a history of digestive signs, symptoms or digestive diseases is missing, this borderline ...
Andresanu, A. +9 more
core +2 more sources
IEEE Access, 2020 Since the existing terrain classification algorithm based on deep learning is not ideal for unbalanced PolSAR classification, a effective terrain classification algorithm based on wavelet kernel sparse deep coding network under unbalanced data set is ...
Xiangdong Chen, Jianghong Deng
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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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On Certain Properties of a Degenerate Sigmoid Function
European Journal of Mathematical Analysis, 2023 In this paper, we introduce a degenerate sigmoid function. By employing analytical techniques, we present some properties such as logarithmic concavity, monotonicity and inequalities of the new function.
Thomas Awinba Akugre +2 more
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