2004, ISBN: 1402027435
[EAN: 9781402027437], Neubuch, [PU: Springer US Okt 2004], BAUELEMENT (ELEKTRONISCH) - BAUSTEIN (ELEKTRONISCH); ELEKTRONIK / BAUELEMENTE; IC; CMOS; POTENTIAL; SIGNAL; STANDARD; TRANSDUCER… Más…
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2004, ISBN: 1402027435
[EAN: 9781402027437], Neubuch, [SC: 0.0], [PU: Springer US], BAUELEMENT (ELEKTRONISCH) - BAUSTEIN (ELEKTRONISCH); ELEKTRONIK / BAUELEMENTE; IC; CMOS; POTENTIAL; SIGNAL; STANDARD; TRANSDUC… Más…
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2004, ISBN: 9781402027437
Editor: Valle, Maurizio, Springer, Hardcover, Auflage: 2004, 320 Seiten, Publiziert: 2004-10-18T00:00:01Z, Produktgruppe: Book, 1.39 kg, Books Global Store, Special Features, Books, Indus… Más…
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2004, ISBN: 9781402027437
Editor: Valle, Maurizio, Springer, Hardcover, Auflage: 2004, 320 Seiten, Publiziert: 2004-10-18T00:00:01Z, Produktgruppe: Book, 1.39 kg, All Deals, Blowout Books, Specialty Stores, Books,… Más…
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2004, ISBN: 1402027435
[EAN: 9781402027437], New book, [PU: Springer], pp. 324, Books
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2004, ISBN: 1402027435
[EAN: 9781402027437], Neubuch, [PU: Springer US Okt 2004], BAUELEMENT (ELEKTRONISCH) - BAUSTEIN (ELEKTRONISCH); ELEKTRONIK / BAUELEMENTE; IC; CMOS; POTENTIAL; SIGNAL; STANDARD; TRANSDUCER… Más…
2004, ISBN: 1402027435
[EAN: 9781402027437], Neubuch, [SC: 0.0], [PU: Springer US], BAUELEMENT (ELEKTRONISCH) - BAUSTEIN (ELEKTRONISCH); ELEKTRONIK / BAUELEMENTE; IC; CMOS; POTENTIAL; SIGNAL; STANDARD; TRANSDUC… Más…
2004
ISBN: 9781402027437
Editor: Valle, Maurizio, Springer, Hardcover, Auflage: 2004, 320 Seiten, Publiziert: 2004-10-18T00:00:01Z, Produktgruppe: Book, 1.39 kg, Books Global Store, Special Features, Books, Indus… Más…
2004, ISBN: 9781402027437
Editor: Valle, Maurizio, Springer, Hardcover, Auflage: 2004, 320 Seiten, Publiziert: 2004-10-18T00:00:01Z, Produktgruppe: Book, 1.39 kg, All Deals, Blowout Books, Specialty Stores, Books,… Más…
2004, ISBN: 1402027435
[EAN: 9781402027437], New book, [PU: Springer], pp. 324, Books
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Detalles del libro - Smart Adaptive Systems on Silicon
EAN (ISBN-13): 9781402027437
ISBN (ISBN-10): 1402027435
Tapa dura
Año de publicación: 2004
Editorial: Springer
304 Páginas
Peso: 0,643 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2007-05-29T04:06:57+02:00 (Madrid)
Página de detalles modificada por última vez el 2023-06-23T01:08:48+02:00 (Madrid)
ISBN/EAN: 9781402027437
ISBN - escritura alterna:
1-4020-2743-5, 978-1-4020-2743-7
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: valle, maurizio
Título del libro: smart adaptive systems silicon
Datos del la editorial
Autor: Maurizio Valle
Título: Smart Adaptive Systems on Silicon
Editorial: Springer; Springer US
304 Páginas
Año de publicación: 2004-10-18
New York; NY; US
Idioma: Inglés
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XVI, 304 p.
BB; Hardcover, Softcover / Technik/Chemische Technik; Industrielle Chemie und Chemietechnologie; Verstehen; CMOS; Potential; Signal; Standard; Transducer; VLSI; analog; bridge; development; fuzzy logic; logic; microsystems; network; neural networks; Industrial Chemistry; Communications Engineering, Networks; Electrical and Electronic Engineering; Engineering Design; Electronics and Microelectronics, Instrumentation; Nachrichtententechnik, Telekommunikation; Elektrotechnik; Konstruktion, Entwurf; Elektronik; BC
1. The Cmos Technology Platform.- 2. Systems on a Chip.- 3. Microsystems.- 4. Soi Technology.- 5. Neuromorphic Engineering.- 6. Vertebrate Retina Emulation Using Multi-Layer Array-Processor Mixed-Signal Chips.- 7. CMOS Mixed-Signal Flexible Vision Chips.- 8. How to Organize Analog VLSI Operators to Perform Perceptual Tasks in Machine Vision.- 9. Supervised Learning Systems on Silicon.- 10. Design and Application of Analog Fuzzy Logic Controllers.- 11. Unsupervised Probabilistic Neural Computation in Analogue VLSI.- 12. Evolvable Hardware in Silicon.- 13. Mixed-Mode Neural Networks Adapted for Evolutionary Algorithms.- 14. Log-Domain Circuit Techniques for Nonlinear Neural Networks with Complex Dynamics.- 15. Remote Powering and Control of Intelligent Microsystems.- 16. Nonuniformity Correction of Imaging Arrays Using the Constant Statistics Constraint.- 17. Bioartificial Neuronal Networks: Coupling Networks of Biological Neuron to Microtransducer Arrays.Although many books deal with research and engineering topics (i.e. algorithms, technology, implementations, etc.) few of them try to bridge the gap between them and to address the issues related to feasibility, reliability and applications. This book, though not exhaustive, tries to fill this gap and to give answers mainly to the feasibility and reliability issues Contains a selection of contributed chapters representative of the state of the art in the proposed field and with intriguing examples for future developments Addresses systems and implementations in CMOS technology which is the industry standard in the microelectronic field
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