The art of CNN template design

International Journal of Circuit Theory and Applications

Volumn 27, Issue 1, 1999, Pages 5-23

  Szolgay, Péter ^a   Tömördi, Katalin ^b  

^a INSTITUTE OF EXPERIMENTAL MEDICINE   (Hungary)

^b UNIVERSITY OF PANNONIA   (Hungary)

Author keywords

CNN; CNN template design; Robustness

Indexed keywords

DESIGN; LEARNING SYSTEMS; MATHEMATICAL MODELS; MATHEMATICAL MORPHOLOGY; ROBUSTNESS (CONTROL SYSTEMS); SURVEYS;

CELLULAR NEURAL NETWORK TEMPLATE DESIGN; CHUA-YANG MODEL; FULL SIGNAL RANGE MODEL;

CELLULAR NEURAL NETWORKS;

EID: 0032600084     PISSN: 00989886     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-007X(199901/02)27:1<5::AID-CTA38>3.0.CO;2-C     Document Type: Article

References (15)

1. Cellular neural networks: Theory and applications
2. The CNN paradigm
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4. CNN universal chips crank up the computing power
5. A current-mode DTCNN universal chip
6. A fast, complex and efficient test implementation of the CNN universal machine
7. CNNUC2 User's Guide
8. Templates and algorithms
9. Texture classification and segmentation by cellular neural network using genetic learning
10. Implementations of binary and grayscale mathematical morphology on the CNN universal machine
11. Implementation of arbitrary Boolean functions on a CNN universal machine
12. Cellular neural networks: Foundations and primer
13. Efficient implementation of neighborhood logic for cellular neural network universal machine
14. Convergence and stability of FSR CNN model
15. Implementation of large-neighborhood non-linear templates on the CNN universal machine