Design of Activation Functions for Inference of Fuzzy Cognitive Maps: Application to Clinical Decision Making in Diagnosis of Pulmonary Infection [PDF]
Healthcare Informatics Research, 2012 ObjectivesFuzzy cognitive maps (FCMs) representing causal knowledge of relationships between medical concepts have been used as prediction tools for clinical decision making.
In Keun Lee, Hwa Sun Kim, Hune Cho
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Dynamic Neural Network Models for Time-Varying Problem Solving: A Survey on Model Structures
IEEE Access, 2023 In recent years, neural networks have become a common practice in academia for handling complex problems. Numerous studies have indicated that complex problems can generally be formulated as a single or a set of time-varying equations.
Cheng Hua +4 more
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Inflammasomes: caspase-1-activating platforms with critical roles in host defense [PDF]
, 2011 Activation of the inflammatory cysteine protease caspase-1 in inflammasome complexes plays a critical role in the host response to microbial infections.
Lieselotte eVande Walle +3 more
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Sigmoid Activation Function in Selecting the Best Model of Artificial Neural Networks
Journal of Physics: Conference Series, 2020 The aim of the research is to make predictions from the best architectural model of backpropagation neural networks. In determining the outcome in the form of a prediction model, the activation function in the artificial neural network is useful to ...
Heny Pratiwi +8 more
semanticscholar +1 more source
Rag GTPases are cardioprotective by regulating lysosomal function. [PDF]
, 2014 The Rag family proteins are Ras-like small GTPases that have a critical role in amino-acid-stimulated mTORC1 activation by recruiting mTORC1 to lysosome.
Guan, Kun-Liang +8 more
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RMAF: Relu-Memristor-Like Activation Function for Deep Learning
IEEE Access, 2020 Activation functions facilitate deep neural networks by introducing non-linearity to the learning process. The non-linearity feature gives the neural network the ability to learn complex patterns. Recently, the most widely used activation function is the
Yongbin Yu +5 more
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ITO-based electro-absorption modulator for photonic neural activation function [PDF]
APL Materials, 2019 Recently integrated optics has become an intriguing platform for implementing machine learning algorithms and inparticular neural networks. Integrated photonic circuits can straightforwardly perform vector-matrix multiplicationswith high efficiency and ...
R. Amin +10 more
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Deep Physical Informed Neural Networks for Metamaterial Design
IEEE Access, 2020 In this paper, we propose a physical informed neural network approach for designing the electromagnetic metamaterial. The approach can be used to deal with various practical problems such as cloaking, rotators, concentrators, etc.
Zhiwei Fang, Justin Zhan
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Skap2 is required for β2 integrin-mediated neutrophil recruitment and functions. [PDF]
, 2017 Integrin activation is required for neutrophil functions. Impaired integrin activation on neutrophils is the hallmark of leukocyte adhesion deficiency (LAD) syndrome in humans, characterized by impaired leukocyte recruitment and recurrent infections. The
Bardel, Bernadette +11 more
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“SPOCU”: scaled polynomial constant unit activation function
Neural computing & applications (Print), 2020 We address the following problem: given a set of complex images or a large database, the numerical and computational complexity and quality of approximation for neural network may drastically differ from one activation function to another.
J. Kiselák +4 more
semanticscholar +1 more source