NEW LEARNING METHOD FOR CELLULAR NEURAL NETWORKS TEMPLATE BASED ON COMBINATION BETWEEN ROUGH SETS AND GENETIC PROGRAMMING

DOI10.1080/01969720490929599zbMath1080.92005OpenAlexW2043081537MaRDI QIDQ3369492

Elsayed Radwan, Eiichiro Tazaki

Publication date: 2 February 2006

Published in: Cybernetics and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01969720490929599

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• CNN cloning template: shadow detector
• Cellular neural networks: theory
• CNN: A Vision of Complexity
• Cellular neural networks with non-linear and delay-type template elements and non-uniform grids
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