A recurrent fuzzy-neural model for dynamic system identification.
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Gene regulatory networks modelling using a dynamic evolutionary hybrid.Multi Groups Cooperation based Symbiotic Evolution for TSK-type Neuro-Fuzzy Systems DesignA discrete-time recurrent neurofuzzy network for black-box modeling of insulin dynamics in diabetic type-1 patients.Indirect adaptive control of nonlinear systems based on bilinear neuro-fuzzy approximation.Dynamical recurrent neuro-fuzzy identification schemes employing switching parameter hopping.An innovative recurrent error-based neuro-fuzzy system with momentum for stock price predictionLyapunov Stability Analysis of Gradient Descent-Learning Algorithm in Network TrainingApplying Neural Networks to Prices Prediction of Crude Oil FuturesIdentification of Nonlinear Dynamic Systems Using Hammerstein-Type Neural Network
P2860
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P2860
A recurrent fuzzy-neural model for dynamic system identification.
description
2002 nî lūn-bûn
@nan
2002年の論文
@ja
2002年学术文章
@wuu
2002年学术文章
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2002年学术文章
@zh-cn
2002年学术文章
@zh-hans
2002年学术文章
@zh-my
2002年学术文章
@zh-sg
2002年學術文章
@yue
2002年學術文章
@zh-hant
name
A recurrent fuzzy-neural model for dynamic system identification.
@en
A recurrent fuzzy-neural model for dynamic system identification.
@nl
type
label
A recurrent fuzzy-neural model for dynamic system identification.
@en
A recurrent fuzzy-neural model for dynamic system identification.
@nl
prefLabel
A recurrent fuzzy-neural model for dynamic system identification.
@en
A recurrent fuzzy-neural model for dynamic system identification.
@nl
P356
P1476
A recurrent fuzzy-neural model for dynamic system identification.
@en
P2093
J B Theocharis
P A Mastorocostas
P304
P356
10.1109/3477.990874
P577
2002-01-01T00:00:00Z