Verwandte Artikel zu Hardware Annealing in Analog VLSI Neurocomputing: 127...
Hardware Annealing in Analog VLSI Neurocomputing: 127 (The Springer International Series in Engineering and Computer Science) - Hardcover
Inhaltsangabe
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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Reseña del editor
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Neu kaufen
Diesen Artikel anzeigen
EUR 118,64
Gratis für den Versand innerhalb von/der Deutschland
Versandziele, Kosten & Dauer
Suchergebnisse für Hardware Annealing in Analog VLSI Neurocomputing: 127...
Beispielbild für diese ISBN
Hardware Annealing in Analog VLSI Neurocomputing
Anbieter: Buchpark, Trebbin, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher. Bestandsnummer des Verkäufers 3023745/202
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Hardware Annealing in Analog Vlsi Neurocomputing
Anbieter: Ammareal, Morangis, Frankreich
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: 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. Bestandsnummer des Verkäufers D-706-858
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Hardware Annealing in Analog VLSI Neurocomputing (The Springer International Series in Engineering and Computer Science, 127)
Verlag:
Kluwer Academic Publishers, 1990
ISBN 10: 0792391322
ISBN 13: 9780792391326
Gebraucht
Hardcover
Anbieter: Bookman Orange, Orange, CA, USA
Verkäuferbewertung 4 von 5 Sternen
hardcover. Zustand: Very Good. Clean crisp copy with no markings. Bestandsnummer des Verkäufers 1284618
Anzahl: 1 verfügbar
Foto des Verkäufers
Hardware Annealing in Analog VLSI Neurocomputing
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Gebunden. Zustand: 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. Bestandsnummer des Verkäufers 458443349
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Hardware Annealing in Analog VLSI Neurocomputing (The Springer International Series in Engineering and Computer Science, 127)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. In. Bestandsnummer des Verkäufers ria9780792391326_new
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Hardware Annealing in Analog VLSI Neurocomputing
Print-on-DemandAnbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Hardback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 570. Bestandsnummer des Verkäufers C9780792391326
Anzahl: Mehr als 20 verfügbar
Beispielbild für diese ISBN
Hardware Annealing in Analog VLSI Neurocomputing
Anbieter: Books Puddle, New York, NY, USA
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. pp. 260. Bestandsnummer des Verkäufers 263079523
Anzahl: 4 verfügbar
Beispielbild für diese ISBN
Hardware Annealing in Analog VLSI Neurocomputing
Print-on-DemandAnbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. PRINT ON DEMAND pp. 260. Bestandsnummer des Verkäufers 183079529
Anzahl: 4 verfügbar
Foto des Verkäufers
Hardware Annealing in Analog VLSI Neurocomputing
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Neuware - 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. Bestandsnummer des Verkäufers 9780792391326
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Hardware Annealing in Analog VLSI Neurocomputing
Print-on-DemandAnbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Print on Demand pp. 260 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam. Bestandsnummer des Verkäufers 5849788
Anzahl: 4 verfügbar