Results 61 to 70 of about 10,610,136 (340)

Local Sigmoid Method: Non-Iterative Deterministic Learning Algorithm for Automatic Model Construction of Neural Network

open access: yesIEEE Access, 2020
A non-iterative learning algorithm for artificial neural networks is an alternative to optimize the neural network parameters with extremely fast convergence time.
Syukron Abu Ishaq Alfarozi   +3 more
doaj   +1 more source

Mass or heat transfer inside a spherical gas bubble at low to moderate Reynolds number [PDF]

open access: yes, 2013
Mass (or heat) transfer inside a spherical gas bubble rising through a stationary liquid is investigated by direct numerical simulation. Simulations were carried out for bubble Reynolds number ranging from 0.1 to 100 and for Péclet numbers ranging from 1
Cockx, Arnaud   +3 more
core   +3 more sources

Two-Dimensional Convolutional Recurrent Neural Networks for Speech Activity Detection [PDF]

open access: yes, 2019
Speech Activity Detection (SAD) plays an important role in mobile communications and automatic speech recognition (ASR). Developing efficient SAD systems for real-world applications is a challenging task due to the presence of noise.
Chen, Liming   +7 more
core   +1 more source

A Maximum Wind-energy Capture Method Based on Sliding Mode Inverse Decoupling Control for Small Permanent Magnet Direct-drive Wind Turbine

open access: yesKongzhi Yu Xinxi Jishu, 2022
Small wind power generation systems have the characteristics of nonlinear strong coupling and the application requirements of small weight and low cost.
WANG Hongru, ZHANG Zhigang
doaj   +1 more source

Constructive Approximation by Superposition of Sigmoidal Functions

open access: yesAnalysis in Theory and Applications, 2013
In this paper, a constructive theory is developed for approximating func- tions of one or more variables by superposition of sigmoidal functions. This is done in the uniform norm as well as in the L p norm. Results for the simultaneous approx- imation, with the same order of accuracy, of a function and its derivatives (whenever these exist), are ...
COSTARELLI, DANILO, SPIGLER, Renato
openaire   +2 more sources

Received-Signal-Strength (RSS) Based 3D Visible-Light-Positioning (VLP) System Using Kernel Ridge Regression Machine Learning Algorithm With Sigmoid Function Data Preprocessing Method

open access: yesIEEE Access, 2020
In this work, we propose and demonstrate a received-signal-strength (RSS) based visible-light-positioning (VLP) system using sigmoid function data preprocessing (SFDP) method; and apply it to two types of regression based machine learning algorithms ...
Yu-Chun Wu   +7 more
semanticscholar   +1 more source

Turning on the alarm: the neural mechanisms of the transition from innocuous to painful sensation [PDF]

open access: yes, 2011
The experience of pain occurs when the level of a stimulus is sufficient to elicit a marked affective response, putatively to warn the organism of potential danger and motivate appropriate behavioral responses.
Backonja, Miroslav   +3 more
core   +1 more source

Some properties of the Blumberg's hyper-log-logistic curve

open access: yesBiomath, 2018
The paper considers the sigmoid function definedthrough the hyper-log-logistic model introduced by Blumberg. We study the Hausdorff distance of this sigmoid to the Heaviside function, which characterises the shape of switching from 0 to 1.
Roumen Anguelov   +2 more
doaj   +1 more source

An analysis on neural dynamics with saturated sigmoidal functions

open access: yesComputers & Mathematics with Applications, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jianfeng Feng   +2 more
openaire   +3 more sources

Bivariate Beta-LSTM

open access: yes, 2019
Long Short-Term Memory (LSTM) infers the long term dependency through a cell state maintained by the input and the forget gate structures, which models a gate output as a value in [0,1] through a sigmoid function.
Jang, JoonHo   +3 more
core   +1 more source

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