Results 281 to 290 of about 220,793 (302)
Data-driven optimization of maskless grayscale laser lithography. [PDF]
Lutey AHA +8 more
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Sigmoid colon endometriosis as an uncommon cause of large bowel obstruction: A case report. [PDF]
Al Ayoubi O +4 more
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Technical Principles in Elective Surgical Treatment of Left Colon Diverticular Disease: A Scoping Review. [PDF]
Amodio LE +5 more
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Predator–prey model with sigmoid functional response
Studies in Applied Mathematics, 2023AbstractThe sigmoid functional response in the predator–prey model was posed in 1977. But its dynamics has not been completely characterized. This paper completes the classification of the global dynamics for the classical predator–prey model with the sigmoid functional response, whose denominator has two different zeros.
Su, Wei, Zhang, Xiang
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An application of Sigmoid and Double-Sigmoid functions for dynamic policyholder behaviour
Decisions in Economics and Finance, 2020In the context of risk-based valuation of insurance contracts, the paper provides an extension of the dynamic lapse rate models, proposed in the literature and by regulators, using a double-sigmoid curve. The model is based on an economic assumption, in accordance with the description of policyholder behavior currently well established in the insurance
Baione F., Biancalana D., De Angelis P.
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Sigmoid functional responses and population stability
Theoretical Population Biology, 1978Abstract 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 ...
Hassell, M. P., Comins, H. N.
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Certain Class of Starlike Functions Associated with Modified Sigmoid Function
Bulletin of the Malaysian Mathematical Sciences Society, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Priyanka Goel, S. Sivaprasad Kumar
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Why tanh: choosing a sigmoidal function
[Proceedings 1992] IJCNN International Joint Conference on Neural Networks, 2003As hardware implementations of backpropagation and related training algorithms are anticipated, the choice of a sigmoidal function should be carefully justified. Attention should focus on choosing an activation function in a neural unit that exhibits the best properties for training. The author argues for the use of the hyperbolic tangent.
B.L. Kalman, S.C. Kwasny
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THE SIGMOIDAL INVESTMENT FUNCTION [PDF]
Based on the investment theory of Abel and Eberly (1994), we develop an analytical model of adjustment costs, which produces a sigmoidal investment function. We also estimate the piecewise linear investment function, which includes as special cases linear models, models with one threshold, the original model of Abel and Eberly, which has two thresholds,
Yuzo Honda, Kazuyuki Suzuki
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