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Title: An Approach to the EOG Signal Segmentation Based on Fuzzy Reasoning
Page Link: An Approach to the EOG Signal Segmentation Based on Fuzzy Reasoning -
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Created at: Thursday 05th of May 2011 01:10:42 PM
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An Approach to the EOG Signal Segmentation Based on Fuzzy Reasoning
Abstract
In this paper we presented an approach to segmentationof an electrooculography (EOG) signal. For segmentation wehave used the elements of the fuzzy set theory. Results obtainedin our numerical experiments show usefulness of proposedapproach. Our method can be also used for the generating ofa learning set necessary for the neural networks or the fuzzy–neural systems training.Index Terms—EOG signal, signal segmentation, fuzzy reasoning,fuzzy clusteri ....etc

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Title: Adaptive Integral Position Control Using RBF Neural Networks for Brushless DC Motor
Page Link: Adaptive Integral Position Control Using RBF Neural Networks for Brushless DC Motor -
Posted By: seminar class
Created at: Monday 02nd of May 2011 06:48:32 PM
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Adaptive Integral Position Control Using RBF Neural Networks for
Brushless DC Linear Motor Drive
Abstract
The paper presents an adaptive integral positioncontroller usingRBF (Radial Basis Function) neural networks (NNs)for a brushless DC linear motor. By assuming that the upper boundsof the nonlinear friction and force ripple, an RBF NN is used forapproximating the friction, the force ripple and the load; an adaptivebackstepping control with integral action is then proposed to achieveposition tracking of the linear motor. The paramete ....etc

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Title: Adaptive Integral Position Control Using RBF Neural Networks for Brushless DC Motor
Page Link: Adaptive Integral Position Control Using RBF Neural Networks for Brushless DC Motor -
Posted By: seminar class
Created at: Monday 02nd of May 2011 06:48:32 PM
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Adaptive Integral Position Control Using RBF Neural Networks for
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Abstract
The paper presents an adaptive integral positioncontroller usingRBF (Radial Basis Function) neural networks (NNs)for a brushless DC linear motor. By assuming that the upper boundsof the nonlinear friction and force ripple, an RBF NN is used forapproximating the friction, the force ripple and the load; an adaptivebackstepping control with integral action is then proposed to achieveposition tracking of the linear motor. The paramete ....etc

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Title: An Approach to the EOG Signal Segmentation Based on Fuzzy Reasoning
Page Link: An Approach to the EOG Signal Segmentation Based on Fuzzy Reasoning -
Posted By: seminar class
Created at: Thursday 05th of May 2011 01:10:42 PM
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An Approach to the EOG Signal Segmentation Based on Fuzzy Reasoning
Abstract
In this paper we presented an approach to segmentationof an electrooculography (EOG) signal. For segmentation wehave used the elements of the fuzzy set theory. Results obtainedin our numerical experiments show usefulness of proposedapproach. Our method can be also used for the generating ofa learning set necessary for the neural networks or the fuzzy–neural systems training.Index Terms—EOG signal, signal segmentation, fuzzy reasoning,fuzzy clusteri ....etc

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