neural network toolbox-pattern recognition tool Search Results


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MathWorks Inc neural network pattern recognition toolbox matlab 2017b
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MathWorks Inc pattern recognition neural network toolbox
Pattern Recognition Neural Network 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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MathWorks Inc neural pattern recognition app
Neural 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
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MathWorks Inc pattern recognition network toolbox
Pattern Recognition Network 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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MathWorks Inc neural pattern recognition
Neural Pattern Recognition, 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 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
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MathWorks Inc neuronal network pattern recognition toolbox
Neuronal Network 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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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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MathWorks Inc levenberg-marquardt (lm) matlab built-in 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.
Levenberg Marquardt (Lm) Matlab Built In 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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MathWorks Inc neural network toolbox-pattern recognition tool
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 Network Toolbox Pattern Recognition Tool, 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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MathWorks Inc shallow neural network
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.
Shallow Neural Network, 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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MathWorks Inc scaled conjugate gradient backpropagation algorithm
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.
Scaled Conjugate Gradient Backpropagation 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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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