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deep inference: a convolutional neural networks method for parameter recovery of the fractional dynamics
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نویسنده
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biranvand n. ,hadian-rasanan a. h. ,khalili a. ,rad j. a.
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منبع
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international journal of nonlinear analysis and applications - 2021 - دوره : 12 - شماره : 1 - صفحه:189 -201
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چکیده
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Parameter recovery of dynamical systems has attracted much attention in recent years. the proposed methods for this purpose can not be used in real-time applications. besides, little works have been done on the parameter recovery of the fractional dynamics. therefore, in this paper, a convolutional neural network is proposed for parameter recovery of the fractional dynamics. the presented network can also estimate the uncertainty of the parameter estimation and has perfect robustness for real-time applications.
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کلیدواژه
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convolutional neural network ,parameter estimation ,fractional dynamics ,data driven discovery
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آدرس
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imam ali university, faculty of sciences, iran, shahid beheshti university, institute for cognitive and brain sciences, department of cognitive modeling, iran, imam ali university, faculty of engineering, iran, shahid beheshti university, institute for cognitive and brain sciences, department of cognitive modeling, iran
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پست الکترونیکی
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j.amanirad@gmail.com
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Authors
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