Results 41 to 50 of about 43,273 (183)
IEEE Access, 2023 A cochlear implant (CI) is the most suitable option for individuals with severe profound hearing loss. CI restores the audibility to near perfection and offers good speech understanding in quiet.
Venkateswarlu Poluboina +2 more
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Coefficient estimates for starlike and convex functions related to sigmoid functions
Ukrains’kyi Matematychnyi Zhurnal, 2023 UDC 517.5 We give sharp coefficient bounds for starlike and convex functions related to modified sigmoid functions. We also provide some sharp coefficients bounds for the inverse functions and sharp bounds for the initial logarithmic coefficients and some coefficient differences.
Raza, M., Thomas, D. K., Riaz, A.
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Interpolation for Neural Network Operators Activated by Smooth Ramp Functions
ComputationIn the present article, we extend the results of the neural network interpolation operators activated by smooth ramp functions proposed by Yu (Acta Math. Sin.(Chin. Ed.) 59:623-638, 2016). We give different results from Yu (Acta Math. Sin.(Chin.
Fesal Baxhaku +2 more
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An Efficient Topology Description Function Method Based on Modified Sigmoid Function [PDF]
Mathematical Problems in Engineering, 2018 Optimal geometries extracted from traditional element-based topology optimization outcomes usually have zigzag boundaries, leading to being difficult to fabricate. In this study, a fairly accurate and efficient topology description function method (TDFM) for topology optimization of linear elastic structures is developed.
Xingfa Yang +4 more
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The approximation operators with sigmoidal functions
Computers & Mathematics with Applications, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Zhixiang, Cao, Feilong
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Constrained optimization using penalty function method combined with genetic algorithm
ITM Web of Conferences, 2018 In the paper the way of adaptation of the penalty function method to the genetic algorithm is presented. In case of application of the external penalty function, the penalty term may exceed the value of the primary objective function.
Knypiński Łukasz +2 more
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The Construction and Approximation of the Neural Network with Two Weights
Journal of Applied Mathematics, 2014 The technique of approximate partition of unity, the way of Fourier series, and inequality technique are used to construct a neural network with two weights and with sigmoidal functions. Furthermore by using inequality technique, we prove that the neural
Zhiyong Quan, Zhengqiu Zhang
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Population dynamics: Variance and the sigmoid activation function
NeuroImage, 2008 This paper demonstrates how the sigmoid activation function of neural-mass models can be understood in terms of the variance or dispersion of neuronal states. We use this relationship to estimate the probability density on hidden neuronal states, using non-invasive electrophysiological (EEG) measures and dynamic casual modelling.
Marreiros, A. +3 more
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An all-optical neuron with sigmoid activation function
Optics Express, 2019 We present an all-optical neuron that utilizes a logistic sigmoid activation function, using a Wavelength-Division Multiplexing (WDM) input & weighting scheme. The activation function is realized by means of a deeply-saturated differentially-biased Semiconductor Optical Amplifier-Mach-Zehnder Interferometer (SOA-MZI) followed by a SOA-Cross-Gain ...
G. Mourgias-Alexandris +5 more
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