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A sufficient condition is obtained such that the error estimate system for discrete-time BAM neural networks is globally exponentially stable in [29].
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Considering the vehicles previously estimated this system for predicting allows obtaining the general results reported in "Appendix 3".
This study presents a holistic method for constructing a Bayesian network (BN) model for estimating system reliability.
There is limited methodological guidance for estimating system dynamics (SD) models using datasets common to social sciences that include few data points over time for many units under analysis.
The paper introduces spline wavelets as a modelling tool for system identification and proposes the technique of consistent output prediction using wavelets for estimating system parameters.
An iterative algorithm, alternately projecting the solution in time and wavelet domain for penalized minimization of local error in wavelet coefficients could be designed for estimating system parameters.
This paper describes an efficient yet accurate methodology for estimating system damping.
Drzewiecki estimates that a system for a large 1,600-member 1,600-member, for example, would congregation20,000 because it would have to be custom designed and hand built.
NMF-based low-rank audio source modeling is extended to a multichannel signal, resulting in MNMF, which estimates the mixing system for solving the BSS problem.
This study used an appropriate unit of analysis (i.e., CWS) for estimating system-level nitrate exposure.
The design, development, and application of a hydroinformatic system for estimating evapotranspiration is presented.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com