Table 2.

Acronyms and notations used in this work. AN: acronym or notation.

ANMeaningFirst appearanceANMeaningFirst appearance
|$a^{(l)}_j(\boldsymbol {x})$|the output of the jth node in the lth layer for an input xSection 4.1apan atmospheric parameter log Teff, log g or [Fe/H]Section 7
|$b^{(l)}_j$|the bias of the jth node in the (l + 1)th layerSection 4.1βa regularized parameter in the objective function J(·, ·)Section 4.1
BSEbasic structure elementAbstractDCPdescription by convolution and poolingSection 5.2
f(·)an estimation methodSection 6g(·)an activation function of an autoencoderSection 4.1
hW, bthe mapping of an autoencoderSection 4.1J(·, ·)the objective function of an autoencoderSection 4.1
KL( · ∥ · )relative entropy of the average output of a hidden node and its expected outputSection 4.1λa weight decay parameter in the objective function J(·, ·)Section 4.1
|$\hat{\lambda }$|optimized value for λ. |$\hat{\beta }$|⁠, |$\hat{\rho }$|⁠, |$\hat{n}$|⁠, |$\hat{N}_p$|⁠, |$\hat{n}^{\rm BP}_{\rm hl}$| and |$\hat{\boldsymbol {n}}^{\rm BP}_{\rm nhl}$| are defined similarlySection 7mnumber of nodes in the input layer of an autoencoderSection 4.1
nnumber of nodes in the hidden layer of an autoencoderSection 4.1|$n^{\rm BP}_{\rm hl}$|number of hidden layers in a BP networkSection 6
|$\tilde{n}^{\rm BP}_{\rm hl}$|initialized value of |$n^{\rm BP}_{\rm hl}$|Section 7|$\boldsymbol {n}^{\rm BP}_{\rm nhl}$|number of nodes in the hidden layers of a BP networkSection 6
|$\tilde{\boldsymbol {n}}^{\rm BP}_{\rm nhl}$|an initialization of |$\boldsymbol {n}^{\rm BP}_{\rm nhl}$|Section 7Nnumber of samples in a data set S or Str depending on its contextSection 4.1
Npnumber of poolsSection 5.2ρan desired activation levelSection 4.1
|$\bar{\rho }_j$|the average activation of the jth hidden node of an autoencoderSection 4.1RRλrestricted (search) range for λ. RRβ, RRρ, RRn, |$RR_{{N}_p}$|⁠, |$RR_{{n}^{\rm BP}_{\rm hl}}$| and |$RR_ {{\boldsymbol {n}}^{\rm BP}_{\rm nhl}}$| are defined similarlySection 7
Sa data set with spectra and atmospheric parametersSection 6SBSEa set of BSEsSection 4.2
Stra training set of stellar spectraSection 4.2|$S^{\rm tr\_ae}$|a training set for an autoencoder, consists of some spectral patchesSection 4.1
|$v^{(j)}_q$|the maximum convolution response with the jth BSE in the qth poolSection 5.2wdescription by convolution and pooling (DCP)Section 5.2
|$W^{(1)}_{j\cdot }$|the jth BSESection 4.1|$W^{(l)}_{ji}$|a weight between the ith node in the lth layer and the jth node in the (l + 1)th layerSection 4.1
xa spectrum or a spectral patch for an autoencoder depending on its contextSection 2.3|$\bar{\boldsymbol {x}}$|a normalized spectrumSection 2.3
youtput of an autoencoderSection 4.1za convolution response of a spectrum with BSEsSection 5.1
ANMeaningFirst appearanceANMeaningFirst appearance
|$a^{(l)}_j(\boldsymbol {x})$|the output of the jth node in the lth layer for an input xSection 4.1apan atmospheric parameter log Teff, log g or [Fe/H]Section 7
|$b^{(l)}_j$|the bias of the jth node in the (l + 1)th layerSection 4.1βa regularized parameter in the objective function J(·, ·)Section 4.1
BSEbasic structure elementAbstractDCPdescription by convolution and poolingSection 5.2
f(·)an estimation methodSection 6g(·)an activation function of an autoencoderSection 4.1
hW, bthe mapping of an autoencoderSection 4.1J(·, ·)the objective function of an autoencoderSection 4.1
KL( · ∥ · )relative entropy of the average output of a hidden node and its expected outputSection 4.1λa weight decay parameter in the objective function J(·, ·)Section 4.1
|$\hat{\lambda }$|optimized value for λ. |$\hat{\beta }$|⁠, |$\hat{\rho }$|⁠, |$\hat{n}$|⁠, |$\hat{N}_p$|⁠, |$\hat{n}^{\rm BP}_{\rm hl}$| and |$\hat{\boldsymbol {n}}^{\rm BP}_{\rm nhl}$| are defined similarlySection 7mnumber of nodes in the input layer of an autoencoderSection 4.1
nnumber of nodes in the hidden layer of an autoencoderSection 4.1|$n^{\rm BP}_{\rm hl}$|number of hidden layers in a BP networkSection 6
|$\tilde{n}^{\rm BP}_{\rm hl}$|initialized value of |$n^{\rm BP}_{\rm hl}$|Section 7|$\boldsymbol {n}^{\rm BP}_{\rm nhl}$|number of nodes in the hidden layers of a BP networkSection 6
|$\tilde{\boldsymbol {n}}^{\rm BP}_{\rm nhl}$|an initialization of |$\boldsymbol {n}^{\rm BP}_{\rm nhl}$|Section 7Nnumber of samples in a data set S or Str depending on its contextSection 4.1
Npnumber of poolsSection 5.2ρan desired activation levelSection 4.1
|$\bar{\rho }_j$|the average activation of the jth hidden node of an autoencoderSection 4.1RRλrestricted (search) range for λ. RRβ, RRρ, RRn, |$RR_{{N}_p}$|⁠, |$RR_{{n}^{\rm BP}_{\rm hl}}$| and |$RR_ {{\boldsymbol {n}}^{\rm BP}_{\rm nhl}}$| are defined similarlySection 7
Sa data set with spectra and atmospheric parametersSection 6SBSEa set of BSEsSection 4.2
Stra training set of stellar spectraSection 4.2|$S^{\rm tr\_ae}$|a training set for an autoencoder, consists of some spectral patchesSection 4.1
|$v^{(j)}_q$|the maximum convolution response with the jth BSE in the qth poolSection 5.2wdescription by convolution and pooling (DCP)Section 5.2
|$W^{(1)}_{j\cdot }$|the jth BSESection 4.1|$W^{(l)}_{ji}$|a weight between the ith node in the lth layer and the jth node in the (l + 1)th layerSection 4.1
xa spectrum or a spectral patch for an autoencoder depending on its contextSection 2.3|$\bar{\boldsymbol {x}}$|a normalized spectrumSection 2.3
youtput of an autoencoderSection 4.1za convolution response of a spectrum with BSEsSection 5.1
Table 2.

Acronyms and notations used in this work. AN: acronym or notation.

ANMeaningFirst appearanceANMeaningFirst appearance
|$a^{(l)}_j(\boldsymbol {x})$|the output of the jth node in the lth layer for an input xSection 4.1apan atmospheric parameter log Teff, log g or [Fe/H]Section 7
|$b^{(l)}_j$|the bias of the jth node in the (l + 1)th layerSection 4.1βa regularized parameter in the objective function J(·, ·)Section 4.1
BSEbasic structure elementAbstractDCPdescription by convolution and poolingSection 5.2
f(·)an estimation methodSection 6g(·)an activation function of an autoencoderSection 4.1
hW, bthe mapping of an autoencoderSection 4.1J(·, ·)the objective function of an autoencoderSection 4.1
KL( · ∥ · )relative entropy of the average output of a hidden node and its expected outputSection 4.1λa weight decay parameter in the objective function J(·, ·)Section 4.1
|$\hat{\lambda }$|optimized value for λ. |$\hat{\beta }$|⁠, |$\hat{\rho }$|⁠, |$\hat{n}$|⁠, |$\hat{N}_p$|⁠, |$\hat{n}^{\rm BP}_{\rm hl}$| and |$\hat{\boldsymbol {n}}^{\rm BP}_{\rm nhl}$| are defined similarlySection 7mnumber of nodes in the input layer of an autoencoderSection 4.1
nnumber of nodes in the hidden layer of an autoencoderSection 4.1|$n^{\rm BP}_{\rm hl}$|number of hidden layers in a BP networkSection 6
|$\tilde{n}^{\rm BP}_{\rm hl}$|initialized value of |$n^{\rm BP}_{\rm hl}$|Section 7|$\boldsymbol {n}^{\rm BP}_{\rm nhl}$|number of nodes in the hidden layers of a BP networkSection 6
|$\tilde{\boldsymbol {n}}^{\rm BP}_{\rm nhl}$|an initialization of |$\boldsymbol {n}^{\rm BP}_{\rm nhl}$|Section 7Nnumber of samples in a data set S or Str depending on its contextSection 4.1
Npnumber of poolsSection 5.2ρan desired activation levelSection 4.1
|$\bar{\rho }_j$|the average activation of the jth hidden node of an autoencoderSection 4.1RRλrestricted (search) range for λ. RRβ, RRρ, RRn, |$RR_{{N}_p}$|⁠, |$RR_{{n}^{\rm BP}_{\rm hl}}$| and |$RR_ {{\boldsymbol {n}}^{\rm BP}_{\rm nhl}}$| are defined similarlySection 7
Sa data set with spectra and atmospheric parametersSection 6SBSEa set of BSEsSection 4.2
Stra training set of stellar spectraSection 4.2|$S^{\rm tr\_ae}$|a training set for an autoencoder, consists of some spectral patchesSection 4.1
|$v^{(j)}_q$|the maximum convolution response with the jth BSE in the qth poolSection 5.2wdescription by convolution and pooling (DCP)Section 5.2
|$W^{(1)}_{j\cdot }$|the jth BSESection 4.1|$W^{(l)}_{ji}$|a weight between the ith node in the lth layer and the jth node in the (l + 1)th layerSection 4.1
xa spectrum or a spectral patch for an autoencoder depending on its contextSection 2.3|$\bar{\boldsymbol {x}}$|a normalized spectrumSection 2.3
youtput of an autoencoderSection 4.1za convolution response of a spectrum with BSEsSection 5.1
ANMeaningFirst appearanceANMeaningFirst appearance
|$a^{(l)}_j(\boldsymbol {x})$|the output of the jth node in the lth layer for an input xSection 4.1apan atmospheric parameter log Teff, log g or [Fe/H]Section 7
|$b^{(l)}_j$|the bias of the jth node in the (l + 1)th layerSection 4.1βa regularized parameter in the objective function J(·, ·)Section 4.1
BSEbasic structure elementAbstractDCPdescription by convolution and poolingSection 5.2
f(·)an estimation methodSection 6g(·)an activation function of an autoencoderSection 4.1
hW, bthe mapping of an autoencoderSection 4.1J(·, ·)the objective function of an autoencoderSection 4.1
KL( · ∥ · )relative entropy of the average output of a hidden node and its expected outputSection 4.1λa weight decay parameter in the objective function J(·, ·)Section 4.1
|$\hat{\lambda }$|optimized value for λ. |$\hat{\beta }$|⁠, |$\hat{\rho }$|⁠, |$\hat{n}$|⁠, |$\hat{N}_p$|⁠, |$\hat{n}^{\rm BP}_{\rm hl}$| and |$\hat{\boldsymbol {n}}^{\rm BP}_{\rm nhl}$| are defined similarlySection 7mnumber of nodes in the input layer of an autoencoderSection 4.1
nnumber of nodes in the hidden layer of an autoencoderSection 4.1|$n^{\rm BP}_{\rm hl}$|number of hidden layers in a BP networkSection 6
|$\tilde{n}^{\rm BP}_{\rm hl}$|initialized value of |$n^{\rm BP}_{\rm hl}$|Section 7|$\boldsymbol {n}^{\rm BP}_{\rm nhl}$|number of nodes in the hidden layers of a BP networkSection 6
|$\tilde{\boldsymbol {n}}^{\rm BP}_{\rm nhl}$|an initialization of |$\boldsymbol {n}^{\rm BP}_{\rm nhl}$|Section 7Nnumber of samples in a data set S or Str depending on its contextSection 4.1
Npnumber of poolsSection 5.2ρan desired activation levelSection 4.1
|$\bar{\rho }_j$|the average activation of the jth hidden node of an autoencoderSection 4.1RRλrestricted (search) range for λ. RRβ, RRρ, RRn, |$RR_{{N}_p}$|⁠, |$RR_{{n}^{\rm BP}_{\rm hl}}$| and |$RR_ {{\boldsymbol {n}}^{\rm BP}_{\rm nhl}}$| are defined similarlySection 7
Sa data set with spectra and atmospheric parametersSection 6SBSEa set of BSEsSection 4.2
Stra training set of stellar spectraSection 4.2|$S^{\rm tr\_ae}$|a training set for an autoencoder, consists of some spectral patchesSection 4.1
|$v^{(j)}_q$|the maximum convolution response with the jth BSE in the qth poolSection 5.2wdescription by convolution and pooling (DCP)Section 5.2
|$W^{(1)}_{j\cdot }$|the jth BSESection 4.1|$W^{(l)}_{ji}$|a weight between the ith node in the lth layer and the jth node in the (l + 1)th layerSection 4.1
xa spectrum or a spectral patch for an autoencoder depending on its contextSection 2.3|$\bar{\boldsymbol {x}}$|a normalized spectrumSection 2.3
youtput of an autoencoderSection 4.1za convolution response of a spectrum with BSEsSection 5.1
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