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Self-learning complex neuro-fuzzy system with complex fuzzy sets and its application to adaptive image noise canceling
Chunshien Li
, Tsunghan Wu, Feng Tse Chan
資訊管理學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
48
引文 斯高帕斯（Scopus）
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深入研究「Self-learning complex neuro-fuzzy system with complex fuzzy sets and its application to adaptive image noise canceling」主題。共同形成了獨特的指紋。
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Keyphrases
Noise Cancellation
100%
Complex Fuzzy Set
100%
Complex Neuro-fuzzy System
100%
Adaptive Image
100%
Image Noise
100%
Recursive Least Squares
40%
Image Reconstruction
20%
Particle Swarm Optimization
20%
Least Square Estimation Method
20%
Unknown Noise
20%
Systems-based
10%
Optimization Methods
10%
Knowledge Base
10%
Image Quality
10%
Excellent Performance
10%
Parameter Estimation
10%
Fuzzy Sets
10%
Unit Disk
10%
Particle Swarm Optimization Algorithm
10%
Degrees of Freedom
10%
Complex Plane
10%
Fuzzy Inference
10%
Membership Function
10%
Hybrid Particle Swarm Optimization
10%
Fuzzy If-then Rule
10%
Computing Model
10%
Nonlinear Functional
10%
Fast Learning
10%
Corrupted Images
10%
Functional Mapping
10%
Noise Channel
10%
Additive Noise
10%
Takagi-Sugeno Fuzzy
10%
Optimal Estimation
10%
Computer Science
neuro-fuzzy
100%
Image Noise
100%
Fuzzy Set
100%
Least Squares Method
40%
recursive least square
40%
Particle Swarm Optimization
30%
Experimental Result
20%
Estimation Method
20%
Image Restoration
20%
Image Quality
10%
Knowledge Base
10%
hybrid particle swarm optimization
10%
Membership Function
10%
Engineering
Image Noise
100%
Fuzzy System
100%
Least Square
40%
Recursive
40%
Particle Swarm Optimization
40%
Experimental Result
20%
Optimization Method
20%
Image Restoration
20%
Gaussians
10%
Knowledge Base
10%
Degree of Freedom
10%
Membership Function
10%
Fuzzy Inference
10%
Complex Plane
10%
Additive Noise
10%