Learning, generalization, seeing and recognition are the major features of natural intelligence. This guide describes man-made systems that integrate these features, including high-speed architectures and system organizations suitable for industrial applications.
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Describes multiple possible generalizers, comparing different infinitesimal and discrete techniques in learning and in neural network synthesis. Offers high speed solutions based on the latest intelligent modules and systems. Includes such leading computer processes as searching and sorting, backpropagation in neural networks, vision and graphics, pattern identification and recognition. Contains a large number of examples, experimental results, illustrations, flowcharts plus a bibliography featuring over 300 items.
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tapa dura. Zustand: Bien. Image processing., Machine learning., Electronic digital computers., Aufsatzsammlung Fast learning and invariant object recognition : the sixth-generation breakthrough Wiley  1992. New York. 25 cm. xiii, 279 pages : illustrations. Encuadernación en tapa dura de editorial con sobrecubierta. Idioma Inglés. Branko SoucÌ?ek and the IRIS Group. Sixth-generation computer technology series. "A Wiley-Interscience publication. ". Includes bibliographical references and index. Online version:: SoucÌ?ek, Branko. Fast learning and invariant object recognition. New York : Wiley,  1992 Local: (OCoLC)607934545. Contents Pt. 1. Fast Learning -- 1. Learning to See / Angela Franich and Branko Soucek -- 2. Fast Back Propagation with Adaptive Decoupled Momentum / Ali A. Minai and Ronald D. Williams -- 3. Second Order Gradient Methods in Back Propagation / Selwyn Piramuthu -- 4. Constructing Efficient Features for Back Propagation / Selwyn Piramuthu -- 5. How Slow Processes Can Think Fast in Concurrent Logic? / F. Kozato and G. A. Ringwood -- 6. How to Deal with Multiple Possible Generalizers / David H. Wolpert -- 7. Infinitesimal versus Discrete Methods in Neural Network Synthesis / Andreas Albrecht -- 8. Systolic Array Implementation of Neural Networks / Jai-Hoon Chung, Hyunsoo Yoon and Seung Ryoul Maeng -- Pt. II. Invariant Object Recognition -- 9. Translation Invariant Neural Networks / Stephen S. Wilson -- 10. Higher Order Neural Networks in Position, Scale, and Rotation Invariant Object Recognition / Lilly Spirkovska and Max B. Reid -- 11. Visual Tracking with Object Classification: Neural Network Approach / A. Dobnikar, A. Likar, B. Jurcic-Zlobec and D. Podbregar -- 12. Neural Network Approach to Landmark Based Shape Recognition / Nirwan Ansari and Kuowei Li -- 13. Directed and Undirected Segmentation of Three-Dimensional Ultrasonograms / Ronald H. Silverman -- 14. Implementation of Neural Networks on Parallel Architectures and Invariant Object Recognition / Manavendra Misra and Viktor K. Prasanna . ISBN: 0471574309; 9780471574309 (=3134586=) PC239. Bestandsnummer des Verkäufers 3134586
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No jacket. Zustand: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Sans jaquette. Couverture différente. Edition 1992. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. No dust jacket. Different cover. Edition 1992. Ammareal gives back up to 15% of this item's net price to charity organizations. Bestandsnummer des Verkäufers E-563-472
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