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Widespread pylephlebitis and infective thromboembolism due to <i>Streptococcus anginosus</i>-related appendiceal rupture: A case report. [PDF]

IDCases
Hinh J, Ho C, Abasszade JH, Low KY, Hall S, Fraser J, Swan MP, Braude M, Bell SJ.   +8 more
europepmc   +1 more source

Generalization in a perceptron with a sigmoid transfer function [PDF]

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan), 2005
Learning of layered neural networks is studied using the methods of statistical mechanics. Networks are trained from examples using the Gibbs algorithm. We focus on the generalization curve, i.e. the average generalization error as a function of the number of the examples. We consider perceptron learning with a sigmoid transfer function.
HA, S, KANG, K, OH, JH, KWON, C, PARK, Y
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An application of Sigmoid and Double-Sigmoid functions for dynamic policyholder behaviour

Decisions in Economics and Finance, 2020
The growing relevance of risk-based valuations of insurance contracts has stimulated the extension of the traditional deterministic lapse rate models towards a dynamic modelling. A popular dynamic model uses deterministic lapse rates as base rates and dynamic adjustment factors, generally assuming a relationship between lapses and one or more economic ...
Baione F., Biancalana D., De Angelis P.
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A novel feedrate scheduling method based on Sigmoid function with chord error and kinematic constraints

The International Journal of Advanced Manufacturing Technology, 2021
In high-speed CNC (compute numerical control) machining, the feedrate scheduling has played an important role to ensure machining quality and machining efficiency.
Hexiong Li, Xin Jiang, Guanying Huo, Cheng Su, Bolun Wang, Yifei Hu, Zhiming Zheng   +6 more
semanticscholar   +1 more source

Sigmoid functional responses and population stability

Theoretical Population Biology, 1978
Abstract Sigmoid functional responses are known to stabilize the differential Lotka-Volterra predator-prey model. However, we have found that they have no such effect in a comparable discrete generation model. The difficulty in stabilizing this model results from the one-generation time delay between changes in predator population density and the ...
Hugh N. Comins, Michael P. Hassell
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Degree of approximation by superpositions of a sigmoidal function [PDF]

Approximation Theory and its Applications, 1993
Summary: We study the degree of approximation by superpositions of a sigmoidal function. We mainly consider the univariate case. If \(f\) is a continuous function, we prove that for any bounded sigmoidal function \(\sigma\), \(d_{n,\sigma}(f)\leq \|\sigma\| \omega \bigl( f,{1\over{n+1}}\bigr)\). For the Heaviside function \(H(x)\), we prove that \(d_{n,
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Small Object Detection in Infrared Images Using Attention Mechanism and Sigmoid Function

IEEE International Conference on Consumer Electronics
Infrared image-based object detection is challenging due to inherent low resolution and scarce details, especially when locating small objects that cover minimal region in the image.
Jiyoon Lee, Heegwang Kim, Chanyeong Park, Junbo Jang, Joonki Paik   +4 more
semanticscholar   +1 more source

Analysis of porosity effect on free vibration and buckling responses for sandwich sigmoid function based functionally graded material plate resting on Pasternak foundation using Galerkin Vlasov’s method

, 2020
The objective of the present paper is to study the effect of porosity on vibration and buckling responses for sandwich plate supported with different boundary conditions at the edges.
S.J. Singh, S. Harsha
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A Novel Approximation Methodology and Its Efficient VLSI Implementation for the Sigmoid Function

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2020
In this brief, a novel approximation method and its optimized hardware implementation are proposed for the sigmoid function used in Deep Neural Networks (DNNs).
Zidi Qin, Yuou Qiu, Huaqing Sun, Zhonghai Lu, Zhongfeng Wang, Q. Shen, H. Pan   +6 more
semanticscholar   +1 more source

On the approximation of the step function by some sigmoid functions

Mathematics and Computers in Simulation, 2017
Abstract In this note the Hausdorff approximation of the Heaviside step function by several sigmoid functions (log–logistic, transmuted log–logistic and generalized logistic functions) is considered and precise upper and lower bounds for the Hausdorff distance are obtained. Numerical examples, that illustrate our results are given, too.
Nikolay Kyurkchiev, Anton Iliev, Svetoslav Markov   +2 more
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