메뉴 건너뛰기




Volumn 25, Issue 2, 1992, Pages 197-209

Relaxation by the Hopfield neural network

Author keywords

Hopfield model; Image thresholding; Labeling problem; Neural networks; Relaxation

Indexed keywords

IMAGE PROCESSING; RELAXATION PROCESSES;

EID: 0026817798     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(92)90101-N     Document Type: Article
Times cited : (42)

References (41)
  • 9
    • 0025600184 scopus 로고
    • A new thinning algorithm for gray-scale images by the relaxation technique
    • (1990) Pattern Recognition , vol.23 , pp. 1067-1076
    • Yu1    Tsai2
  • 12
    • 0004469897 scopus 로고
    • Neurons with graded response have collective computational properties like those of two-state neurons
    • (1984) Proc. natn. Acad. Sci. USA , vol.81 , pp. 3088-3092
    • Hopfield1
  • 15
    • 0019152630 scopus 로고
    • Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
    • (1980) Biol. Cybern. , vol.36 , pp. 193-202
    • Fukushima1
  • 16
    • 0023521376 scopus 로고
    • Neural network model for selective attention in visual pattern recognition and associative recall
    • (1987) Appl. Opt. , vol.26 , pp. 4985-4992
    • Fukushima1
  • 17
    • 0023846591 scopus 로고
    • Neocognitron: a hierarchical neural network capable of visual pattern recognition
    • (1988) Neural Networks , vol.1 , pp. 119-130
    • Fukushima1
  • 19
    • 0017120827 scopus 로고
    • Adaptive pattern classification and universal recording: I. Parallel development and coding of neural feature detectors
    • (1976) Biol. Cybern. , vol.23 , pp. 121-134
    • Grossberg1
  • 21
    • 0023148716 scopus 로고
    • connectionist architectures for artificial intelligence
    • (1987) Computer , vol.20 , Issue.1 , pp. 100-109
    • Fahlman1    Hinton2
  • 27
    • 0022504321 scopus 로고
    • Computing with neural circuits: a model
    • (1986) Science , vol.233 , pp. 625-633
    • Hopfield1    Tank2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.