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neural net pattern recognition application neural network toolbox version 9.0.0.341360 r2016a  (MathWorks Inc)


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    MathWorks Inc neural net pattern recognition application neural network toolbox version 9.0.0.341360 r2016a
    Neural Net Pattern Recognition Application Neural Network Toolbox Version 9.0.0.341360 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/neural net pattern recognition application neural network toolbox version 9.0.0.341360 r2016a/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    neural net pattern recognition application neural network toolbox version 9.0.0.341360 r2016a - by Bioz Stars, 2026-03
    90/100 stars

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    neural net pattern recognition application neural network toolbox version 9.0.0.341360 r2016a  (MathWorks Inc)
    90
    MathWorks Inc neural net pattern recognition application neural network toolbox version 9.0.0.341360 r2016a
    Neural Net Pattern Recognition Application Neural Network Toolbox Version 9.0.0.341360 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/neural net pattern recognition application neural network toolbox version 9.0.0.341360 r2016a/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    neural net pattern recognition application neural network toolbox version 9.0.0.341360 r2016a - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    neural net pattern recognition toolbox  (MathWorks Inc)
    90
    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
    https://www.bioz.com/result/neural net pattern recognition toolbox/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    neural net pattern recognition toolbox - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    neural net pattern recognition app  (MathWorks Inc)
    90
    MathWorks Inc neural net pattern recognition app
    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 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/neural net pattern recognition app/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    neural net pattern recognition app - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

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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