pattern recognition network toolbox Search Results


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MathWorks Inc pattern recognition neural network toolbox
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MathWorks Inc neural pattern recognition
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MathWorks Inc pattern recognition toolbox
Pattern Recognition Toolbox, 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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MathWorks Inc custom-built pattern recognition matlab software
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MathWorks Inc neural net pattern recognition application neural network toolbox version 9.0.0.341360 r2016a
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MathWorks Inc prtools (pattern recognition tools)
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MathWorks Inc prebuilt functions in the pattern recognition toolbox of matlab 2019a
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MathWorks Inc neural net pattern recognition toolbox
ANN training accuracy confusion matrix generated using the MATLAB (MathWorks) neural network pattern <t>recognition</t> toolbox <t>(nprtool).</t> This was taken from one of the 10 networks that were trained. Output classes represent the predicted classifications made by the network, 1 through 10 being the degree variations, 11 being normal force data, and 12 being no touch data. The Target classes on the bottom axis represent the correct classifications for the data.
Neural Net Pattern Recognition 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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ANN training accuracy confusion matrix generated using the MATLAB (MathWorks) neural network pattern recognition toolbox (nprtool). This was taken from one of the 10 networks that were trained. Output classes represent the predicted classifications made by the network, 1 through 10 being the degree variations, 11 being normal force data, and 12 being no touch data. The Target classes on the bottom axis represent the correct classifications for the data.

Journal: Proceedings. Florida Conference on Recent Advances in Robotics

Article Title: Flexible Magnetic Skin Sensor Array for Torsion Perception

doi: 10.5038/swid5066

Figure Lengend Snippet: ANN training accuracy confusion matrix generated using the MATLAB (MathWorks) neural network pattern recognition toolbox (nprtool). This was taken from one of the 10 networks that were trained. Output classes represent the predicted classifications made by the network, 1 through 10 being the degree variations, 11 being normal force data, and 12 being no touch data. The Target classes on the bottom axis represent the correct classifications for the data.

Article Snippet: The ANN was trained using MATLAB’s Neural Net Pattern Recognition toolbox (nprtool), and the network parameters were modified according to the error generated with the training dataset.

Techniques: Generated