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Finite Memory Estimation-Based Recurrent Neural Network Learning Algorithm for Accurate Identification of Unknown Nonlinear Systems
Hyun Ho Kang
, Sang Su Lee
, Kwan Soo Kim
,
Choon Ki Ahn
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
2
Citations (Scopus)
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Dive into the research topics of 'Finite Memory Estimation-Based Recurrent Neural Network Learning Algorithm for Accurate Identification of Unknown Nonlinear Systems'. Together they form a unique fingerprint.
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Keyphrases
Recurrent Neural Network
100%
Accurate Identification
100%
Neural Network Algorithm
100%
Finite Memory Estimation
100%
Unknown Nonlinear Systems
100%
Unknown Identification
100%
Learning Algorithm
60%
Fast Convergence
40%
Modeling Uncertainty
20%
System Identification
20%
Finite Memory Structure
20%
Frobenius Norm
20%
Noise Statistics
20%
Unbiased Condition
20%
Inaccurate Information
20%
Computer Science
Learning Algorithm
100%
Recurrent Neural Network
100%
Nonlinear System
100%
Fast Convergence
50%
Experimental Result
25%
System Identification
25%
Memory Structure
25%
Inaccurate Information
25%
Chemical Engineering
Nonlinear System
100%
Recurrent Neural Network
100%