Learning of cellular neural networks

Future Generation Computer Systems

Volumn 17, Issue 6, 2001, Pages 689-697

  Pudov, Sergey ^a  

^a INSTITUTE OF COMPUTATIONAL MATHEMATICS AND MATHEMATICAL GEOPHYSICS   (Russian Federation)

Author keywords

CNN; Learning method; Pattern formation; Perceptron learning rule

Indexed keywords

CELLULAR NEURAL NETWORKS; COMPUTER SIMULATION; LEARNING SYSTEMS;

PERCEPTRON LEARNING THEORY;

PARALLEL PROCESSING SYSTEMS;

EID: 0035312955     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-739X(00)00052-2     Document Type: Article

References (8)

1. Pattern formation properties of autonomous cellular neural networks
2. Cellular neural networks: Theory and application
3. CNN: A paradigm for complexity
4. Cellular-neural associative memory learning
5. Comparative analysis of learning methods of cellular-neural associative memory
6. Equilibrium analysis of non-symmetric CNNs
7. WinALT: A software tool for fine-grain algorithms and structures synthesis and simulation