E-Book, Englisch, Band 50, 245 Seiten, eBook
Haken Synergetic Computers and Cognition
2. Auflage 2004
ISBN: 978-3-662-10182-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
A Top-Down Approach to Neural Nets
E-Book, Englisch, Band 50, 245 Seiten, eBook
Reihe: Springer Series in Synergetics
ISBN: 978-3-662-10182-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book presents a novel approach to neural nets and thus offers a genuine alternative to the hitherto known neuro-computers. The new edition includes a section on transformation properties of the equations of the synergetic computer and on the invariance properties of the order parameter equations. Further additions are a new section on stereopsis and recent developments in the use of pulse-coupled neural nets for pattern recognition.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
