Mycobacterium phage MarQuardt

Known as: Mycobacteriophage MarQuardt 
 
National Institutes of Health

Topic mentions per year

Topic mentions per year

1995-2017
0204019952017

Papers overview

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2015
2015
It is very important to analyze the influence of solar radiation for most of the application in solar energy research. Despite… (More)
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2013
2013
The damped Gauss-Newton (dGN) algorithm for CANDECOMP/PARAFAC (CP) decomposition can handle the challenges of collinearity of… (More)
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Highly Cited
2012
Highly Cited
2012
This paper proposes a novel neural network (NN) training method that employs the hybrid exponential smoothing method and the… (More)
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Highly Cited
2012
Highly Cited
2012
One of the major difficulties facing researchers using neural networks is the selection of the proper size and topology of the… (More)
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2012
2012
Microwave doppler radar offers significant improvements for unobtrusive heart and respiration measurement. Radar monitoring… (More)
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Highly Cited
2010
Highly Cited
2010
The improved computation presented in this paper is aimed to optimize the neural networks learning process using Levenberg… (More)
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Highly Cited
2009
Highly Cited
2009
Neural networks are the topic of this paper. Neural networks are very powerful as nonlinear signal processors, but obtained… (More)
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Highly Cited
2005
Highly Cited
2005
The Levenberg-Marquardt (LM) algorithm is an iterative technique that locates the minimum of a function that is expressed as the… (More)
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Highly Cited
2002
Highly Cited
2002
Although the Levenberg-Marquardt (LM) algorithm has been extensively applied as a neural-network training method, it suffers from… (More)
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1999
1999
Sensitivity, repeatability, and discernment are three major issues in any classification problem. In this study, an electronic… (More)
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