components and library models of matlab Search Results


principal-component regression matlab princomp function  (MathWorks Inc)
90
MathWorks Inc principal-component regression matlab princomp function
Principal Component Regression Matlab Princomp Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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component runtime 2018a  (MathWorks Inc)
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MathWorks Inc component runtime 2018a
Component Runtime 2018a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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custom-made matlab scripts  (MathWorks Inc)
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MathWorks Inc custom-made matlab scripts
Custom Made Matlab Scripts, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab software r2015b  (MathWorks Inc)
90
MathWorks Inc matlab software r2015b
Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version <t>R2015b</t> ( https://www.mathworks.com ).
Matlab Software R2015b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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wavelet software package  (MathWorks Inc)
93
MathWorks Inc wavelet software package
Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version <t>R2015b</t> ( https://www.mathworks.com ).
Wavelet Software Package, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab r2010a software  (MathWorks Inc)
90
MathWorks Inc matlab r2010a software
Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version <t>R2015b</t> ( https://www.mathworks.com ).
Matlab R2010a Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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independent component ic analysis  (MathWorks Inc)
96
MathWorks Inc independent component ic analysis
Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version <t>R2015b</t> ( https://www.mathworks.com ).
Independent Component Ic Analysis, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab runtime components  (MathWorks Inc)
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MathWorks Inc matlab runtime components
Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version <t>R2015b</t> ( https://www.mathworks.com ).
Matlab Runtime Components, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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software ceemdan model  (MathWorks Inc)
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MathWorks Inc software ceemdan model
Flowchart of <t>CEEMDAN–BO–BiLSTM</t> model.
Software Ceemdan Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab r2017a software  (MathWorks Inc)
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MathWorks Inc matlab r2017a software
Flowchart of <t>CEEMDAN–BO–BiLSTM</t> model.
Matlab R2017a Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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simbiology toolbox  (MathWorks Inc)
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MathWorks Inc simbiology toolbox
Flowchart of <t>CEEMDAN–BO–BiLSTM</t> model.
Simbiology Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab/simulink  (MathWorks Inc)
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MathWorks Inc matlab/simulink
Flowchart of <t>CEEMDAN–BO–BiLSTM</t> model.
Matlab/Simulink, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version R2015b ( https://www.mathworks.com ).

Journal: Scientific Reports

Article Title: The effect of supplementary light on the photosynthetic apparatus of strawberry plants under salinity and alkalinity stress

doi: 10.1038/s41598-022-17377-8

Figure Lengend Snippet: Principle component biplot of JIP test parameters based on variations of 5 levels of light spectra under ( A ) control (non-stress); ( B ) salinity stress; ( C ) alkalinity stress. P1: ABS/RC; P2: Dio/RC; P3: TRo/RC; P4: Eto/RC; P5: REo/RC; P6: φP O ; P7: ΨE O ; P8: φE O ; P9: δR O ; P10: φR O ; P11: PI ABS ; P12: PI total ; P13: V j ; P14: V i ; P15: S m . Principal component analysis was performed using MATLAB software version R2015b ( https://www.mathworks.com ).

Article Snippet: Principal component analysis was performed using MATLAB software version R2015b ( https://www.mathworks.com ).

Techniques: Software

Flowchart of CEEMDAN–BO–BiLSTM model.

Journal: Scientific Reports

Article Title: A monthly temperature prediction based on the CEEMDAN–BO–BiLSTM coupled model

doi: 10.1038/s41598-024-51524-7

Figure Lengend Snippet: Flowchart of CEEMDAN–BO–BiLSTM model.

Article Snippet: In this study, the MATLAB software component CEEMDAN model is utilized to decompose the monthly mean temperature time series, and five modal components and one residual component are finally obtained .

Techniques:

CEEMDAN decomposition.

Journal: Scientific Reports

Article Title: A monthly temperature prediction based on the CEEMDAN–BO–BiLSTM coupled model

doi: 10.1038/s41598-024-51524-7

Figure Lengend Snippet: CEEMDAN decomposition.

Article Snippet: In this study, the MATLAB software component CEEMDAN model is utilized to decompose the monthly mean temperature time series, and five modal components and one residual component are finally obtained .

Techniques:

Relative error table for CEEMDAN–BO–BiLSTM model prediction.

Journal: Scientific Reports

Article Title: A monthly temperature prediction based on the CEEMDAN–BO–BiLSTM coupled model

doi: 10.1038/s41598-024-51524-7

Figure Lengend Snippet: Relative error table for CEEMDAN–BO–BiLSTM model prediction.

Article Snippet: In this study, the MATLAB software component CEEMDAN model is utilized to decompose the monthly mean temperature time series, and five modal components and one residual component are finally obtained .

Techniques:

Table of indicators for the four forecasting models.

Journal: Scientific Reports

Article Title: A monthly temperature prediction based on the CEEMDAN–BO–BiLSTM coupled model

doi: 10.1038/s41598-024-51524-7

Figure Lengend Snippet: Table of indicators for the four forecasting models.

Article Snippet: In this study, the MATLAB software component CEEMDAN model is utilized to decompose the monthly mean temperature time series, and five modal components and one residual component are finally obtained .

Techniques:

Average time for each model run.

Journal: Scientific Reports

Article Title: A monthly temperature prediction based on the CEEMDAN–BO–BiLSTM coupled model

doi: 10.1038/s41598-024-51524-7

Figure Lengend Snippet: Average time for each model run.

Article Snippet: In this study, the MATLAB software component CEEMDAN model is utilized to decompose the monthly mean temperature time series, and five modal components and one residual component are finally obtained .

Techniques:

Nonparametric test results.

Journal: Scientific Reports

Article Title: A monthly temperature prediction based on the CEEMDAN–BO–BiLSTM coupled model

doi: 10.1038/s41598-024-51524-7

Figure Lengend Snippet: Nonparametric test results.

Article Snippet: In this study, the MATLAB software component CEEMDAN model is utilized to decompose the monthly mean temperature time series, and five modal components and one residual component are finally obtained .

Techniques: