Treść książki

Przejdź do opcji czytnikaPrzejdź do nawigacjiPrzejdź do informacjiPrzejdź do stopki
Listofimportantsymbols
Listofimportantsymbols
ANN
artificialneuralnetwork
B
normalizedmeasurementvector
BEM
boundaryelementmethod
C
capacitymatrix[F]
Cm
measuredcapacitymatrix[F]
CNN
convolutionalneuralnetwork
Dx,Dy
matrixdifferentialoperators,respectivelyalongthex-axisandy-axis
ET
electricaltomography
EIT
electricalimpedancetomography
ERT
electricalresistancetomography
ECT
electricalcapacitancetomography
FEM
finiteelementmethod
F
scalarobjectivefunction
Fj
objectivefunctionforthej-thmeasurementpair
F
globalobjectivefunction,calculatedforallprojectionangles
GN
Gauss-Newtonmethod
TV
totalvariationregularization
H
statematrix
hij
statematrixcoefficient
I
functional
Jk
Jacobianmatrixcalculatedink-thstep
L1
squarematrix
L2
regularizationmatrix
Ld
lossduetodifferentdistancesbetweenthetransmitters
La
LARS
LBP
LSM
ML
nel
least-angleregression
linearbackprojection
levelsetmethod
machinelearning
totalnumberofelectrodes
lossesduetoantennamismatch
nde
numberofindependentinter-electrodevoltages
Ni
basefunction,shapefunction
N
noise
Pt
powertransmitter
p
adjointvariable
PCR
principalcomponentregression
PLSR
partialleastsquareregression
Rk
arowvectorthatrepresentsadiscreteapproximationofthegradientoperator
RD
radiotomography
S
sensitivitymatrix
10