svm algorithm matlab classification learner toolbox Search Results


svm  (MathWorks Inc)
90
MathWorks Inc svm
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Svm, 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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learning algorithm (svm) implemented in the machine learning matlab toolbox  (MathWorks Inc)
90
MathWorks Inc learning algorithm (svm) implemented in the machine learning matlab toolbox
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Learning Algorithm (Svm) Implemented In The Machine Learning Matlab Toolbox, 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
https://www.bioz.com/result/learning algorithm (svm) implemented in the machine learning matlab toolbox/product/MathWorks Inc
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learning algorithm (svm) implemented in the machine learning matlab toolbox - by Bioz Stars, 2026-03
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svm/levenberg-marquardt algorithm  (MathWorks Inc)
90
MathWorks Inc svm/levenberg-marquardt algorithm
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Svm/Levenberg Marquardt Algorithm, 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  (MathWorks Inc)
90
MathWorks Inc matlab software
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Matlab 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
https://www.bioz.com/result/matlab software/product/MathWorks Inc
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matlab software - by Bioz Stars, 2026-03
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v7.0  (MathWorks Inc)
90
MathWorks Inc v7.0
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
V7.0, 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
https://www.bioz.com/result/v7.0/product/MathWorks Inc
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classification learner app  (MathWorks Inc)
90
MathWorks Inc classification learner app
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Classification Learner App, 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
https://www.bioz.com/result/classification learner app/product/MathWorks Inc
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classification learner app - by Bioz Stars, 2026-03
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linear svm algorithm  (MathWorks Inc)
90
MathWorks Inc linear svm algorithm
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Linear Svm Algorithm, 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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svm algorithm in matlab r2019a  (MathWorks Inc)
90
MathWorks Inc svm algorithm in matlab r2019a
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Svm Algorithm In Matlab R2019a, 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
https://www.bioz.com/result/svm algorithm in matlab r2019a/product/MathWorks Inc
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svm algorithm in matlab r2019a - by Bioz Stars, 2026-03
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classification learner application  (MathWorks Inc)
90
MathWorks Inc classification learner application
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Classification Learner Application, 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
https://www.bioz.com/result/classification learner application/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classification learner application - by Bioz Stars, 2026-03
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classification learner tool in  (MathWorks Inc)
90
MathWorks Inc classification learner tool in
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Classification Learner Tool In, 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
https://www.bioz.com/result/classification learner tool in/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classification learner tool in - by Bioz Stars, 2026-03
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svm classification learner application  (MathWorks Inc)
90
MathWorks Inc svm classification learner application
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Svm Classification Learner Application, 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
https://www.bioz.com/result/svm classification learner application/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
svm classification learner application - by Bioz Stars, 2026-03
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classification learner matlab r2016a  (MathWorks Inc)
90
MathWorks Inc classification learner matlab r2016a
Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained <t>SVM</t> is obtained offline <t>in</t> <t>MATLAB</t> and the online testing is conducted in Visual Studio.
Classification Learner Matlab R2016a, 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
https://www.bioz.com/result/classification learner matlab r2016a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
classification learner matlab r2016a - by Bioz Stars, 2026-03
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Image Search Results


Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained SVM is obtained offline in MATLAB and the online testing is conducted in Visual Studio.

Journal: Sensors (Basel, Switzerland)

Article Title: PSO-SVM-Based Online Locomotion Mode Identification for Rehabilitation Robotic Exoskeletons

doi: 10.3390/s16091408

Figure Lengend Snippet: Block diagram of the proposed method. GRF signals and AHRS signals are used to obtain the elements of the time series. The GRFs signals in the swing phase are ignored since it does not change. The trained SVM is obtained offline in MATLAB and the online testing is conducted in Visual Studio.

Article Snippet: The model produced by the SVM is trained offline in MATLAB, based on which, the online SVM algorithm can predict the locomotion mode according to the signals measured by sensors in real time.

Techniques: Blocking Assay

The classification result using PSO-SVM with MVA. Those five instances along the sample axis are those five locomotion modes. Misidentification happens when the actual instances (the circle point) misalign with the prediction instances (the star point).

Journal: Sensors (Basel, Switzerland)

Article Title: PSO-SVM-Based Online Locomotion Mode Identification for Rehabilitation Robotic Exoskeletons

doi: 10.3390/s16091408

Figure Lengend Snippet: The classification result using PSO-SVM with MVA. Those five instances along the sample axis are those five locomotion modes. Misidentification happens when the actual instances (the circle point) misalign with the prediction instances (the star point).

Article Snippet: The model produced by the SVM is trained offline in MATLAB, based on which, the online SVM algorithm can predict the locomotion mode according to the signals measured by sensors in real time.

Techniques: