learning algorithm (svm) implemented in the machine learning matlab toolbox Search Results


ensemble learning framework r2024b  (MathWorks Inc)
90
MathWorks Inc ensemble learning framework r2024b
Ensemble Learning Framework R2024b, 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  (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
https://www.bioz.com/result/svm/product/MathWorks Inc
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svm - by Bioz Stars, 2026-03
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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
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learning algorithm (svm) implemented in the machine learning matlab toolbox - by Bioz Stars, 2026-03
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7.5b  (MathWorks Inc)
90
MathWorks Inc 7.5b
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.
7.5b, 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/7.5b/product/MathWorks Inc
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7.5b - by Bioz Stars, 2026-03
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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
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matlab software - by Bioz Stars, 2026-03
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nearest neighbor  (MathWorks Inc)
90
MathWorks Inc nearest neighbor
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.
Nearest Neighbor, 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/nearest neighbor/product/MathWorks Inc
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algorithms matlab r2016b  (MathWorks Inc)
96
MathWorks Inc algorithms matlab r2016b
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.
Algorithms Matlab R2016b, 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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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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svm/levenberg-marquardt algorithm - 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
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v7.0 - 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
https://www.bioz.com/result/linear svm algorithm/product/MathWorks Inc
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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
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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: