back propagation neural network Search Results


back-propagation neural network  (Changyu MedTech)
90
Changyu MedTech back-propagation neural network
Back Propagation Neural Network, supplied by Changyu MedTech, 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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three layer back-propagation neural network (bpnn)  (NeuralWare Inc)
90
NeuralWare Inc three layer back-propagation neural network (bpnn)
Three Layer Back Propagation Neural Network (Bpnn), supplied by NeuralWare 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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Average 90 stars, based on 1 article reviews
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artificial neural network  (Heermann Anesthesia Foundation)
90
Heermann Anesthesia Foundation artificial neural network
Artificial Neural Network, supplied by Heermann Anesthesia Foundation, 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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improved (back propagation) neural network  (Ruihua Certified Public Accountants LLP)
90
Ruihua Certified Public Accountants LLP improved (back propagation) neural network
Improved (Back Propagation) Neural Network, supplied by Ruihua Certified Public Accountants LLP, 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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back propagation neural network  (Sequenom)
90
Sequenom back propagation neural network
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Back Propagation Neural Network, supplied by Sequenom, 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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back propagation neural network - by Bioz Stars, 2026-04
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back propagation neural networks  (Non-Linear Systems Inc)
90
Non-Linear Systems Inc back propagation neural networks
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Back Propagation Neural Networks, supplied by Non-Linear Systems 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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feed-forward back-propagation neural network model  (Kuang Lung Shing)
90
Kuang Lung Shing feed-forward back-propagation neural network model
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Feed Forward Back Propagation Neural Network Model, supplied by Kuang Lung Shing, 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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propagation graph neural network with attention mechanism  (Zhiyuan Chemical Co Ltd)
90
Zhiyuan Chemical Co Ltd propagation graph neural network with attention mechanism
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Propagation Graph Neural Network With Attention Mechanism, supplied by Zhiyuan Chemical Co Ltd, 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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pid controller-based back propagation neural network  (Maglev Inc)
90
Maglev Inc pid controller-based back propagation neural network
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Pid Controller Based Back Propagation Neural Network, supplied by Maglev 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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back propagation neural network  (National Thermal Power Corporation)
90
National Thermal Power Corporation back propagation neural network
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Back Propagation Neural Network, supplied by National Thermal Power Corporation, 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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Average 90 stars, based on 1 article reviews
back propagation neural network - by Bioz Stars, 2026-04
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back propagation neural network  (BioMimetic Therapeutics)
90
BioMimetic Therapeutics back propagation neural network
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Back Propagation Neural Network, supplied by BioMimetic Therapeutics, 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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back propagation neural network  (COMSOL Inc)
90
COMSOL Inc back propagation neural network
( a ) <t>Multivariate</t> linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.
Back Propagation Neural Network, supplied by COMSOL 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


( a ) Multivariate linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.

Journal: Scientific Reports

Article Title: A novel strategy for forensic age prediction by DNA methylation and support vector regression model

doi: 10.1038/srep17788

Figure Lengend Snippet: ( a ) Multivariate linear regression model. ( b ) Multivariate nonlinear regression model. ( c ) Back propagation neural network model. (d) Support vector regression model. Using 11 CpG sites selected from Sequenom MassARRAY results in 49 females, the mean absolute deviation for each method was 6.4, 4.1, 3.9, and 2 years, respectively.

Article Snippet: To build a robust predictor, we used four different models, viz., multivariate linear regression, multivariate nonlinear regression, back propagation (BP) neural network, and SVR, to test the accuracy of 11 CpG sites selected from the Sequenom dataset in age prediction ( ).

Techniques: Plasmid Preparation

( a ) The minimal MAD of predicted age as a function of the number of sites that compose the independent variables. The 11 CpG sites selected from the Sequenom MassARRAY dataset were combined to one to 11 independent variables. SVR model fit on all but one sample, and the minimal MAD of the predicted age was observed for a given number of independent variables. ( b ) Predicted versus observed age of all 49 subjects, using SVR model by six markers. MAD of 2.8 years was observed, which is slightly higher than that obtained by 11 markers. ( c ) Predicted versus observed age using multivariate linear regression by three DNA methylation markers obtained from a recent study . The original BeadChip data of these three sites were extracted to predict age by using a multivariate linear regression model, and an MAD of 6.27 years was obtained. ( d ) Predicted versus observed age using SVR by three DNA methylation markers obtained from a recent study . MAD of 4.23 years was obtained, which is better than the MAD obtained when using a multivariate linear regression (panel C), and better than the MAD obtained when using a multivariate linear regression based on pyrosequencing data in the published study (5.4 years) .

Journal: Scientific Reports

Article Title: A novel strategy for forensic age prediction by DNA methylation and support vector regression model

doi: 10.1038/srep17788

Figure Lengend Snippet: ( a ) The minimal MAD of predicted age as a function of the number of sites that compose the independent variables. The 11 CpG sites selected from the Sequenom MassARRAY dataset were combined to one to 11 independent variables. SVR model fit on all but one sample, and the minimal MAD of the predicted age was observed for a given number of independent variables. ( b ) Predicted versus observed age of all 49 subjects, using SVR model by six markers. MAD of 2.8 years was observed, which is slightly higher than that obtained by 11 markers. ( c ) Predicted versus observed age using multivariate linear regression by three DNA methylation markers obtained from a recent study . The original BeadChip data of these three sites were extracted to predict age by using a multivariate linear regression model, and an MAD of 6.27 years was obtained. ( d ) Predicted versus observed age using SVR by three DNA methylation markers obtained from a recent study . MAD of 4.23 years was obtained, which is better than the MAD obtained when using a multivariate linear regression (panel C), and better than the MAD obtained when using a multivariate linear regression based on pyrosequencing data in the published study (5.4 years) .

Article Snippet: To build a robust predictor, we used four different models, viz., multivariate linear regression, multivariate nonlinear regression, back propagation (BP) neural network, and SVR, to test the accuracy of 11 CpG sites selected from the Sequenom dataset in age prediction ( ).

Techniques: DNA Methylation Assay