A robust-invariant pattern recognition model using Fuzzy ART

Pattern Recognition

Volumn 34, Issue 8, 2001, Pages 1685-1696

  Kim, Mun Hwa ^a   Jang, Dong Sik ^a   Yang, Young Kyu ^b  

^a Korea University   (South Korea)

^b Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

Author keywords

Invariant; Neural network; Pattern recognition; Robust; Spectral analysis

Indexed keywords

FUZZY SETS; MATHEMATICAL MODELS; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); VECTORS;

FUZZY INVARIANT VECTORS;

PATTERN RECOGNITION;

FUZZY MATHEMATICS; PATTERN RECOGNITION; SPECTRAL ANALYSIS;

EID: 0035427392     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(00)00061-3     Document Type: Article

References (12)

1. Translation, rotation, and scale invariant pattern recognition using spectral analysis and hybrid genetic-neural-fuzzy networks
2. Invariant pattern recognition: A overview
3. Robust position, scale and rotation invariant object recognition
4. Handwritten alphanumeric character recognition by the neocognitron
5. A new self-organizing neural model for invariant pattern recognition
6. Adaptive pattern classification and universal recording: I. parallel development and coding of neural feature detectors
7. Amassively parallel architecture for a self-organizing neural pattern recognition machine
8. ARTMAP: Supervised real-time learning and classification of non-stationary data by a self-organizing neural network
9. Fuzzy-ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
10. Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps