Chible hussein (9 resultados)
Idioma: Inglés
Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 88,74
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Condición: New. pp. 152.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 47,90
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: Neu. Neural Network Analog VLSI Multipliers | Detailed Study of Microelectronics CMOS Circuits for Hardware implementation | Hussein Chible | Taschenbuch | 152 S. | Englisch | 2014 | Scholars' Press | EAN 9783639661651 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 490…78 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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EUR 192,06
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paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 54,90
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Neural Networks (NN) are particularly attractive for CMOS VLSI implementations as each parallel element (neuron or synapse) is relatively simple, allowing the complete integration of large networks on a single chip. The analog multi…plier is a key essential element in analog signal processing and especially in analog VLSI implementation of artificial neural networks. The main conditions of these types of multipliers are the small silicon area, the low power consumption, and the good linearity. The objectives of this book is to study and design and realize four-quadrant analog multipliers in order to implement the most operations required by an Artificial Neural Network System. Three main types of circuits are presented and studied in details in this book: 1) six versions of circuits based on using the operational transconductance amplifier OTA or differential pair; 2) new proposed four transistors based circuit; 3) neuron non-linear function and its derivative circuits based on the new proposed four transistors circuit. Key Words: Analog Multipliers, Four-Quadrant, Four-Transistors, Analog Signal Processing, Neural Network, Neurons, Synapses, CMOS VLSI Implementation. 152 pp. Englisch.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 45,45
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chible HusseinDiploma degree of Electrical Engineering 1992 (Beirut Arab University, Lebanon). PhD of Microelectronics & Computer Sciences 1997 (University of Genoa, Italy). He has wide experience in Mi…croelectronics VLSI implementat.
Idioma: Inglés
Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 90,52
Envío por EUR 7,62Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand pp. 152 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Idioma: Inglés
Editorial: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 90,58
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Condición: New. PRINT ON DEMAND pp. 152.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 54,90
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Neural Networks (NN) are particularly attractive for CMOS VLSI implementations as each parallel element (neuron or synapse) is relatively simple, allowing the complete integration of large networks on a single chip. The analog multiplie…r is a key essential element in analog signal processing and especially in analog VLSI implementation of artificial neural networks. The main conditions of these types of multipliers are the small silicon area, the low power consumption, and the good linearity. The objectives of this book is to study and design and realize four-quadrant analog multipliers in order to implement the most operations required by an Artificial Neural Network System. Three main types of circuits are presented and studied in details in this book: 1) six versions of circuits based on using the operational transconductance amplifier OTA or differential pair; 2) new proposed four transistors based circuit; 3) neuron non-linear function and its derivative circuits based on the new proposed four transistors circuit. Key Words: Analog Multipliers, Four-Quadrant, Four-Transistors, Analog Signal Processing, Neural Network, Neurons, Synapses, CMOS VLSI Implementation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 55,56
Envío por EUR 61,22Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Neural Networks (NN) are particularly attractive for CMOS VLSI implementations as each parallel element (neuron or synapse) is relatively simple, allowing the complete integration of large networks on a single chip. The analog multiplier… is a key essential element in analog signal processing and especially in analog VLSI implementation of artificial neural networks. The main conditions of these types of multipliers are the small silicon area, the low power consumption, and the good linearity. The objectives of this book is to study and design and realize four-quadrant analog multipliers in order to implement the most operations required by an Artificial Neural Network System. Three main types of circuits are presented and studied in details in this book: 1) six versions of circuits based on using the operational transconductance amplifier OTA or differential pair; 2) new proposed four transistors based circuit; 3) neuron non-linear function and its derivative circuits based on the new proposed four transistors circuit. Key Words: Analog Multipliers, Four-Quadrant, Four-Transistors, Analog Signal Processing, Neural Network, Neurons, Synapses, CMOS VLSI Implementation.
