Artículos relacionados a VLSI Artificial Neural Networks Engineering
Sinopsis
Engineers have long been fascinated by how efficient and how fast biological neural networks are capable of performing such complex tasks as recognition. Such networks are capable of recognizing input data from any of the five senses with the necessary accuracy and speed to allow living creatures to survive. Machines which perform such complex tasks as recognition, with similar ac curacy and speed, were difficult to implement until the technological advances of VLSI circuits and systems in the late 1980’s. Since then, the field of VLSI Artificial Neural Networks (ANNs) have witnessed an exponential growth and a new engineering discipline was born. Today, many engineering curriculums have included a course or more on the subject at the graduate or senior under graduate levels. Since the pioneering book by Carver Mead; "Analog VLSI and Neural Sys tems", Addison-Wesley, 1989; there were a number of excellent text and ref erence books on the subject, each dealing with one or two topics. This book attempts to present an integrated approach of a single research team to VLSI ANNs Engineering.
"Sinopsis" puede pertenecer a otra edición de este libro.
Reseña del editor
Engineers have long been fascinated by how efficient and how fast biological neural networks are capable of performing such complex tasks as recognition. Such networks are capable of recognizing input data from any of the five senses with the necessary accuracy and speed to allow living creatures to survive. Machines which perform such complex tasks as recognition, with similar ac curacy and speed, were difficult to implement until the technological advances of VLSI circuits and systems in the late 1980's. Since then, the field of VLSI Artificial Neural Networks (ANNs) have witnessed an exponential growth and a new engineering discipline was born. Today, many engineering curriculums have included a course or more on the subject at the graduate or senior under graduate levels. Since the pioneering book by Carver Mead; "Analog VLSI and Neural Sys tems", Addison-Wesley, 1989; there were a number of excellent text and ref erence books on the subject, each dealing with one or two topics. This book attempts to present an integrated approach of a single research team to VLSI ANNs Engineering.
Reseña del editor
VLSI Artificial Neural Networks Engineering offers a unique engineering approach to the design of VLSI Artificial Neural Networks (ANNs). The design of analog, digital and mixed analog/digital VLSI ANNs are represented. A design methodology and a CAD environment are presented to highlight the tradeoff design factors. System applications of ANNs to automatic speech recognition and pattern recognition are included.
Chapter 1 serves as an introduction. Chapters 2, 3, 4 and 5 deal with VLSI circuit design techniques (analog, digital and sampled data) and automated VLSI design environment for ANNs. Chapter 2 reports on a sampled data approach to the implementation of ANNs with application to character recognition. It also contains an overview of the different approaches of VLSI implementation of ANNs; explaining the advantage and disadvantage of each approach. In Chapter 3, the topic of design exploration of mixed analog/digital ANNs at the high level of the design hierarchy is addressed. The need for creating such a design automation environment, with its supporting CAD tools, is a necessary condition for the widespread use of application-specific chips of ANN implementation. In Chapter 4 the same topic of design exploration is discussed, but at the low level of the hierarchy and targeting analog implementation. Chapter 5 reports on all-digital implementation of ANNs using the Neocognitron as the ANN model.
Chapters 6, 7, 8 and 9 deal with the application of ANNs to a number of fields. Chapter 6 addresses the topic of automatic speech recognition using neural predictive hidden Markov models. Chapter 7 deals with the topic of classification using minimum complexity ANNs. Chapter 8 addresses the topic of pattern recognition using a fuzzy clustering ANNs. Chapter 9 deals with speech recognition using pipelined ANNs.
VLSI Artificial Neural Networks Engineering will be useful to researchers and graduated engineers working in the area of VLSI circuit and system design and to the students of upper-undergraduate and graduate level courses on analog circuits, digital circuits, ANNs and VLSI system applications.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 247,51
EUR 28,88 gastos de envío desde Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envíoComprar nuevo
Ver este artículo
EUR 148,20
EUR 7,65 gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envío
Resultados de la búsqueda para VLSI Artificial Neural Networks Engineering
Imagen de archivo
VLSI Artificial Neural Networks Engineering
Librería: Best Price, Torrance, CA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. SUPER FAST SHIPPING. Nº de ref. del artículo: 9780792394938
Cantidad disponible: 2 disponibles
Imagen de archivo
VLSI Artificial Neural Networks Engineering
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9780792394938_new
Gastos de envío:
EUR 13,84
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
VLSI Artificial Neural Networks Engineering
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Gebunden. Condición: New. Engineers have long been fascinated by how efficient and how fast biological neural networks are capable of performing such complex tasks as recognition. Such networks are capable of recognizing input data from any of the five senses with the necessary accu. Nº de ref. del artículo: 458443671
Gastos de envío:
EUR 48,99
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
VLSI Artificial Neural Networks Engineering
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Hardcover. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA75807923949335
Gastos de envío:
EUR 28,88
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen del vendedor
VLSI Artificial Neural Networks Engineering
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware - Engineers have long been fascinated by how efficient and how fast biological neural networks are capable of performing such complex tasks as recognition. Such networks are capable of recognizing input data from any of the five senses with the necessary accuracy and speed to allow living creatures to survive. Machines which perform such complex tasks as recognition, with similar ac curacy and speed, were difficult to implement until the technological advances of VLSI circuits and systems in the late 1980's. Since then, the field of VLSI Artificial Neural Networks (ANNs) have witnessed an exponential growth and a new engineering discipline was born. Today, many engineering curriculums have included a course or more on the subject at the graduate or senior under graduate levels. Since the pioneering book by Carver Mead; 'Analog VLSI and Neural Sys tems', Addison-Wesley, 1989; there were a number of excellent text and ref erence books on the subject, each dealing with one or two topics. This book attempts to present an integrated approach of a single research team to VLSI ANNs Engineering. Nº de ref. del artículo: 9780792394938
Gastos de envío:
EUR 63,31
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 2 disponibles