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Estimation of nonlinear ARX model for soft tissue by wavenet and sigmoid estimators
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نویسنده
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ayob m.a. ,zakaria w.n.w. ,jalani j. ,mohamed nasir n. ,tomari m.r.md.
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منبع
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journal of telecommunication, electronic and computer engineering - 2016 - دوره : 8 - شماره : 7 - صفحه:123 -128
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چکیده
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This paper presents a model-based design technique to estimate the dynamic model of a nonlinear soft tissue phantom using matlab simulink. the soft tissue model was developed using black-box modeling approach; simulations were performed based on acquired set of single input-output data and processed using matlab system identification toolbox. wavenet and sigmoid estimators were used to acquire the best overall performance. comparison study has been made between the simulation and experimental results. our finding shows that the obtained model is sufficient to represent the model of soft tissue phantom with a mean error of 4.12% compared to the real system. © 2016,universiti teknikal malaysia melaka. all rights reserved.
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کلیدواژه
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MATLAB; Nonlinear ARX; RV-2AJ; Simulink; Soft tissue modeling; System identification
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آدرس
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advanced mechatronics research group (admire),faculty of electrical and electronic engineering,universiti tun hussein onn malaysia, Malaysia, advanced mechatronics research group (admire),faculty of electrical and electronic engineering,universiti tun hussein onn malaysia, Malaysia, department of electrical engineering technology,faculty of engineering technology,universiti tun hussein onn malaysia,parit raja,batu pahat,johor, Malaysia, advanced mechatronics research group (admire),faculty of electrical and electronic engineering,universiti tun hussein onn malaysia, Malaysia, advanced mechatronics research group (admire),faculty of electrical and electronic engineering,universiti tun hussein onn malaysia, Malaysia
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Authors
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