Sign Up to like & get
recommendations!
0
Published in 2021 at "International Journal for Numerical Methods in Fluids"
DOI: 10.1002/fld.4990
Abstract: This study considers a numerical approach to identifying noise mechanisms in tandem cylinders to understand aircraft landing gear as a primary contributor to airframe noise during approach and landing. Fluctuations in the flow properties induced…
read more here.
Keywords:
computational aeroacoustic;
hybrid rans;
using hybrid;
aeroacoustic modelling ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.841
Abstract: Abstract In this paper a Maximum Likelihood estimation algorithm for error-model modelling using a stochastic embedding approach is developed. The error-model distribution is approximated by a finite Gaussian mixture. An Expectation-Maximization based algorithm is proposed…
read more here.
Keywords:
model;
embedding approach;
using stochastic;
error ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2020 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v17.i2.pp1117-1126
Abstract: This paper discusses the working mechanism of ANFIS, the flow of research, the implementation and evaluation of ANFIS models, and discusses the pros and cons of each option of input parameters applied, in order to…
read more here.
Keywords:
modelling using;
adaptive neuro;
runoff modelling;
using adaptive ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "Symmetry"
DOI: 10.3390/sym10090370
Abstract: Modelling the multimedia data such as text, images, or videos usually involves the analysis, prediction, or reconstruction of them. The recurrent neural network (RNN) is a powerful machine learning approach to modelling these data in…
read more here.
Keywords:
multimedia data;
using multidimensional;
modelling using;
multidimensional recurrent ... See more keywords