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Add to basketHardcover. Condition: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1991. 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. Edition 1991. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Hardware Annealing in Analog VLSI Neurocomputing (The Springer International Series in Engineering and Computer Science, 127)
Language: English
Published by Kluwer Academic Publishers, 1990
ISBN 10: 0792391322 ISBN 13: 9780792391326
hardcover. Condition: Very Good. Clean crisp copy with no markings.
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Microsystems Technology for Multimedia Applications: An Introduction
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
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Condition: Good. 713 pp., paperback, ex library, else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Rapid advances in neural sciences and VLSI design technologies have provided an excellent means to boost the computational capability and efficiency of data and signal processing tasks by several orders of magnitude. With massively parallel processing capabilities, artificial neural networks can be used to solve many engineering and scientific problems. Due to the optimized data communication structure for artificial intelligence applications, a neurocomputer is considered as the most promising sixth-generation computing machine. Typical applica tions of artificial neural networks include associative memory, pattern classification, early vision processing, speech recognition, image data compression, and intelligent robot control. VLSI neural circuits play an important role in exploring and exploiting the rich properties of artificial neural networks by using pro grammable synapses and gain-adjustable neurons. Basic building blocks of the analog VLSI neural networks consist of operational amplifiers as electronic neurons and synthesized resistors as electronic synapses. The synapse weight information can be stored in the dynamically refreshed capacitors for medium-term storage or in the floating-gate of an EEPROM cell for long-term storage. The feedback path in the amplifier can continuously change the output neuron operation from the unity-gain configuration to a high-gain configuration. The adjustability of the vol tage gain in the output neurons allows the implementation of hardware annealing in analog VLSI neural chips to find optimal solutions very efficiently. Both supervised learning and unsupervised learning can be implemented by using the programmable neural chips.
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Hardware Annealing in Analog VLSI Neurocomputing (The Springer International Series in Engineering and Computer Science, 127)
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Hardware Annealing in Analog VLSI Neurocomputing (The Springer International Series in Engineering and Computer Science, 127)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: New. pp. 260.
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Condition: New. pp. 260.
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Hardware Annealing in Analog VLSI Neurocomputing
Language: English
Published by Kluwer Academic Publishers, 1990
ISBN 10: 0792391322 ISBN 13: 9780792391326
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Condition: New. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 234 pages, biography. BIC Classification: TJFC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 15. Weight in Grams: 1200. . 1990. Hardback. . . . .
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Hardware Annealing in Analog VLSI Neurocomputing
Language: English
Published by Kluwer Academic Publishers, 1990
ISBN 10: 0792391322 ISBN 13: 9780792391326
Condition: New. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 234 pages, biography. BIC Classification: TJFC. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 15. Weight in Grams: 1200. . 1990. Hardback. . . . . Books ship from the US and Ireland.
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Neural Information Processing and VLSI (The Springer International Series in Engineering and Computer Science, 304)
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Neural Information Processing and VLSI (The Springer International Series in Engineering and Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Neural Information Processing and Vlsi
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Add to basketCondition: New. Rapid advances in neural sciences and VLSI design technologies have provided an excellent means to boost the computational capability and efficiency of data and signal processing tasks by several orders of magnitude. With massively parallel processing capab.
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US$ 152.98
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Add to basketGebunden. Condition: New. Rapid advances in neural sciences and VLSI design technologies have provided an excellent means to boost the computational capability and efficiency of data and signal processing tasks by several orders of magnitude. With massively parallel processing capab.
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Multimedia Technology for Applications
Language: English
Published by INST OF ELECTRICAL & ELECTRONI, 1998
ISBN 10: 0780311744 ISBN 13: 9780780311749
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 702 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Add to basketPaperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: New. pp. 580 Index.
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Condition: New. pp. 580 Index.
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Taschenbuch. Condition: Neu. Neural Information Processing and VLSI | Bing J. Sheu (u. a.) | Taschenbuch | The Springer International Series in Engineering and Computer Science | xix | Englisch | 2012 | Springer | EAN 9781461359463 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Neural Information Processing and VLSI
Language: English
Published by Kluwer Academic Publishers, 1995
ISBN 10: 0792395476 ISBN 13: 9780792395478
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Condition: New. Presents a unified treatment of Neural Information Processing and VLSI for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 578 pages, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 31. Weight in Grams: 2170. . 1995. Hardback. . . . .
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Add to basketGebunden. Condition: New. Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using com.
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Neural Information Processing and VLSI
Language: English
Published by Kluwer Academic Publishers, 1995
ISBN 10: 0792395476 ISBN 13: 9780792395478
Condition: New. Presents a unified treatment of Neural Information Processing and VLSI for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 578 pages, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 31. Weight in Grams: 2170. . 1995. Hardback. . . . . Books ship from the US and Ireland.
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has beenespecially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered.
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Neural Information Processing and Vlsi
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Condition: As New. Unread book in perfect condition.
