Keywords:
Neural networks (Computer science).
;
Electronic books.
Type of Medium:
Online Resource
Pages:
1 online resource (248 pages)
Edition:
2nd ed.
ISBN:
9783662101827
Series Statement:
Springer Series in Synergetics Series ; v.50
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=3100521
DDC:
006.3/2
Language:
English
Note:
Springer Complexity -- Synergetic Computers and Cognition A Top-Down Approach to Neural Nets Second Enlarged Edition -- Copyright -- Preface to the Second Edition -- Preface -- Contents -- 1. Goal -- Part I Synergelic Computers -- 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 -- Part II Cognition and Synergetic Computers -- 12. Comparisons Between Human Perception and Machine "Perception -- 13. Oscillations in the Perception of Ambiguous Patterns -- 14. Dynamic Pattern Recognition of Coordinated Biological Motion -- Part III Logical Operations and Outlook -- 15. Realization of the Logical Operation XOR by a Synergetic Computer -- 16. Towards the Neural Level -- 17. Concluding Remarks and Outlook -- Bibliography and Comments -- Subject Index.
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