Results 321 to 330 of about 10,610,136 (340)
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A fusion approach to infrared and visible images with Gabor filter and sigmoid function
Infrared Physics & Technology, 2023R. Zhong +3 more
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A Novel Sigmoid Function Approximation Suitable for Neural Networks on FPGA
International Computer Engineering Conference, 2019Artificial Neural Networks (ANN) is invading a lot of practical applications in our life nowadays. One of the main blocks of ANN is the activation function block, which is based on the sigmoid function.
Peter W. Zaki +6 more
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Functional activity of the sigmoid colon and rectum [PDF]
Coloproctology, 1997 The incomplete information in the literature on the mechanism of sigmoid storage and evacuation and its relation to the rectum has prompted our study in 18 mongrel dogs. A condom-ended catheter was introduced into the sigmoid and infused with carbon dioxide (CO2) at 2 rates: slow and rapid. The pressure responses of sigmoid colon, rectosigmoid junction
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Cascade observer synthesis with sigmoid functions
2012 IEEE 11th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE), 2012The problems of invariant tracking problem for nonlinear under parametrical uncertainty and incomplete miserable are considered. The effective method of the synthesis of the state space observer and external and parametrical disturbances extraction is sliding mode technique.
N. S. Mysik, S. A. Krasnova
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Multivariate neural network operators with sigmoidal activation functions
Neural Networks, 2013In this paper, we study pointwise and uniform convergence, as well as order of approximation, of a family of linear positive multivariate neural network (NN) operators with sigmoidal activation functions. The order of approximation is studied for functions belonging to suitable Lipschitz classes and using a moment-type approach. The special cases of NN
Costarelli D., Spigler R.
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Universal approximation bounds for superpositions of a sigmoidal function
IEEE Transactions on Information Theory, 1993Summary: Approximation properties of a class of artificial neural networks are established. It is shown that feedforward networks with one layer of sigmoidal nonlinearities achieve integrated squared error of order \(O (1/n)\), where \(n\) is the number of nodes.
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Nonlinear Matrix Decomposition with the Sigmoid Function
International Workshop on Machine Learning for Signal ProcessingThe nonlinear matrix decomposition (NMD) of a matrix $X$ consists in finding factors $W$ and $H$ such that $X \approx f(W H)$ where $f$ is a nonlinear function applied elementwise.
Harrison Nguyen +3 more
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Modelling and predicting software vulnerabilities using a sigmoid function
International journal of information technology, 2022Javaid Iqbal +3 more
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Functional stenosis of the sigmoid curve of the duodenum in cattle
Veterinary Record, 1983The symptoms and treatment of 18 cattle suffering from functional stenosis of the sigmoid curve of the duodenum are described. Side to side anastomosis between the proximal part of the duodenum and the descending duodenum is the most successful treatment for this previously undescribed syndrome.
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Analysis of Wear Curves as Sigmoid Functions
2020Sigmoid functions (growth function, logistic function, evolution function, etc.) are used in several fields of science to describe, study and forecast several phenomena of life. Since the sigmoid curves are nonlinear curves, the application of the Fisher- Pry transformation is used for calculating the regression coefficients of the approximated curves.
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