Synergetic learning for unsupervised texture classification tasks

DOI10.1016/0167-2789(95)90069-1zbMath0882.68116OpenAlexW4238218045MaRDI QIDQ1342718

V. Pereyra

Publication date: 12 January 1995

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-2789(95)90069-1

zbMATH Keywords

synergetic computersself-organized algorithmssynergetic learningunsupervised pattern classification

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Cites Work

• Synergetics. An introduction. Nonequilibrium phase transitions and self-organization in physics, chemistry, and biology. 3rd rev. and enl. ed
• Synergetics of the brain. Proceedings of the International Symposium on Synergetics at Schloß Elmau, Bavaria, May 2-7, 1983
• Advanced synergetics. Instability hierarchies of self-organizing systems and devices
• Non-equilibrium dynamics in chemical systems. Proceedings of the International Symposium, Bordeaux, France, September 3-7, 1984
• Self-organized formation of topologically correct feature maps
• Synergetic economics. Time and change in nonlinear economics
• Synergetic computers and cognition. A top-down approach to neural nets
• Cooperative dynamics in complex physical systems. Proceedings of the 2nd Yukawa international symposium, Kyoto, Japan, August 24-27, 1988
• Neuronal cooperativity
• From chemical to biological organization
• Concepts and models of a quantitative sociology. The dynamics of interacting populations

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