Results 1 to 10 of about 10,610,136 (340)
The characteristics of a vertical n–p–i–p heterostructure transistor device, which exhibits a voltage‐tunable transition between Gaussian and sigmoid functions, are investigated. The mixed state of the transfer curve enables the utilization of both exploitation and exploration, improving computational performance in reinforcement learning tasks ...
Jisoo Park +7 more
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Machine learning-based prediction of compressive energy absorption in shoe soles with different features. [PDF]
Mohammadi MM, Nourani A.
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Clock Glitch Fault Attacks on Deep Neural Networks and Their Countermeasures. [PDF]
Lee S, Kim S, Hong S, Ha J.
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Laparoscopic primary suture repair of sigmoid perforation due to a chicken bone: a case report. [PDF]
Borgas P +4 more
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Thermodynamic analysis and intelligent modeling of statin drugs solubility in supercritical carbon dioxide. [PDF]
Amani M, Shahrabadi A, Ardestani NS.
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Analyzing industrial robot selection based on a fuzzy neural network under triangular fuzzy numbers. [PDF]
Ullah I +4 more
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Some of the next articles are maybe not open access.
Sigmoid Function Model for a PWM DC–DC Converter
IEEE transactions on power electronics, 2023Considering the presence of switching devices, a pulse-width modulation (PWM) dc–dc converter is a piecewise smooth switching system that causes difficulties in stability analysis and controller design. Hence, a new modeling method that employs a sigmoid
Yimin Lu, Shiwu Zhong
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IEEE transactions on industrial electronics (1982. Print), 2022
The sigmoid function is a widely used nonlinear activation function in neural networks. In this article, we present a modular approximation methodology for efficient fixed-point hardware implementation of the sigmoid function.
Zhe Pan +4 more
semanticscholar +1 more source
The sigmoid function is a widely used nonlinear activation function in neural networks. In this article, we present a modular approximation methodology for efficient fixed-point hardware implementation of the sigmoid function.
Zhe Pan +4 more
semanticscholar +1 more source
Design and FPGA Implementation of the LUT based Sigmoid Function for DNN Applications
International Symposium on Smart Electronic Systems, 2022Nowadays deep learning algorithms are became popular in the field of biomedical applications for automatic classification and detection problems. There are multiple issues in implementing these algorithms on digital platform.
Revathi Pogiri, S. Ari, K. Mahapatra
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