عنوان

Synergetic computers and cognition :

شابک

366222450X

شابک

3662224526

شابک

9783662224502

شابک

9783662224526

شماره

b581095

عنوان اصلي

Synergetic computers and cognition :

نام عام مواد

[Book]

ساير اطلاعات عنواني

a top-down approach to neural nets

نام نخستين پديدآور

Hermann Haken.

محل نشرو پخش و غیره

Berlin ; New York

نام ناشر، پخش کننده و غيره

Springer-Verlag

تاریخ نشرو بخش و غیره

©1991.

نام خاص و کميت اثر

(ix, 225 pages) : illustrations

عنوان فروست

Springer series in synergetics, v. 50.

متن يادداشت

1. Goal --; I Synergetic 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 --; 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 --; 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.

متن يادداشت

This book presents a novel approach to neural nets and thus offers a genuine alternative to the hitherto known neuro-computers. This approach is based on the author's discovery of the profound analogy between pattern recognition and pattern formation in open systems far from equilibrium. Thus the mathematical and conceptual tools of synergetics can be exploited, and the concept of the synergetic computer formulated. A complete and rigorous theory of pattern recognition and learning is presented. The resulting algorithm can be implemented on serial computers or realized by fully parallel nets whereby no spurious states occur. Explicit examples (recognition of faces and city maps) are provided. The recognition process is made invariant with respect to simultaneous translation, rotation, and scaling, and allows the recognition of complex scenes. Oscillations and hysteresis in the perception of ambiguous patterns are treated, as well as the recognition of movement patterns. A comparison between the recognition abilities of humans and the synergetic computer sheds new light on possible models of mental processes. The synergetic computer can also perform logical steps such as the XOR operation. 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.

موضوع مستند نشده

Neural networks (Computer science)

موضوع مستند نشده

Neurocomputer

موضوع مستند نشده

Synergetik

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

Hermann Haken.

مستند نام اشخاص تاييد نشده

H Haken

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y