| Document Type
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BL
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| Record Number
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719311
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| Doc. No
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b539002
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| Main Entry
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Hermann Haken.
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| Title & Author
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Synergetic computers and cognition : : a top-down approach to neural nets\ Hermann Haken.
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| Edition Statement
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2nd ed
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| Publication Statement
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Berlin ; London: Springer, 2011
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| Series Statement
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Springer series in synergetics, 50
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| Page. NO
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1 volume ; 24 cm
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| ISBN
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3642075738
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: 9783642075735
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| Contents
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1. Goal.- 2. What Are Patterns?.- 3. Associative Memory.- 4. Synergetics - An Outline.- 5. The Standard Model of Synergetics for Pattern Recognition.- 6. Examples: Recognition of Faces and of City Maps.- 7. Possible Realizations by Networks.- 8. Simultaneous Invariance with Respect to Translation, Rotation and Scaling.- 9. Recognition of Complex Scenes. Scene-Selective Attention.- 10. Learning Algorithms.- 11. Learning of Processes and Associative Action.- 12. Comparisons Between Human Perception and Machine "Perception".- 13. Oscillations in the Perception of Ambiguous Patterns.- 14. Dynamic Pattern Recognition of Coordinated Biological Motion.- 15. Realization of the Logical Operation XOR by a Synergetic Computer.- 16. Towards the Neural Level.- 17. Concluding Remarks and Outlook.- Bibliography and Comments.
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| Subject
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Neural computers.
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| Subject
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Neural networks (Computer science)
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| Subject
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Pattern recognition systems.
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| LC Classification
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QA76.87H476 2011
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| Added Entry
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H Haken
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