Results 61 to 70 of about 217,698 (308)
Mathematics, 2023 In this paper, a modified distributed Nash equilibrium seeking problem with input saturation has been investigated. The payoff function of each player is related to the communication topology, which is closer to the actual scenes. The sigmoid function is
Dong Wang, Zhenzhen Gao, Long Sheng
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A novel feed rate scheduling method based on Sigmoid function with chord error and kinematics constraints [PDF]
, 2021 Hexiong Li +6 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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Adalimumab‐Poloxamer Conjugate for Bio‐Better: Enhanced Stability and Function
Advanced Functional Materials, EarlyView.Antibody‐polymer conjugates, particularly poloxamer conjugates, enhance antibody stability by improving tolerance to physicochemical stress and attenuating proteolysis by proteases. Furthermore, the higher affinity observed with poloxamer conjugation compared to standard PEGylation results in improved therapeutic efficacy in rheumatoid arthritis mouse ...
Jaewon Roh +3 more
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Assessing sigmoidal function on memristive maps
HeliyonLos memristores ofrecen un elemento crucial para la construcción de mapas discretos que han atraído una atención significativa en dinámicas complejas y diversas aplicaciones potenciales. En este estudio, hemos integrado la función memristiva y sigmoidal para proponer técnicas de mapeo innovadoras.
Vo Phu Thoai +3 more
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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.
André C, Marreiros +3 more
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Advanced Functional Materials, EarlyView.Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp +7 more
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Semi-Supervised Kernel PCA [PDF]
, 2010 We present three generalisations of Kernel Principal Components Analysis (KPCA) which incorporate knowledge of the class labels of a subset of the data points.
Christian Walder +4 more
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Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source
Double Sigmoid Activation Function for Fault Detection in Wind Turbine Generator using Artificial Neural Network [PDF]
Iranian Journal of Electrical and Electronic EngineeringThe activation function has gained popularity in the research community since it is the most crucial component of the artificial neural network (ANN) algorithm.
NOOR FAZLIANA FADZAIL +2 more
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