FPGA Implementations of Neural Networks

During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Omondi, Amos R. (Editor ), Rajapakse, Jagath C. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Temas:
Electronic circuits.
Computer science.
Engineering design.
Computers, Special purpose.
Electrical engineering.
Microprocessors.
Computer architecture.
Electronic Circuits and Systems.
Computer Science.
Engineering Design.
Special Purpose and Application-Based Systems.
Electrical and Electronic Engineering.
Processor Architectures.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • FPGA Neurocomputers
  • On the Arithmetic Precision for Implementing Back-Propagation Networks on FPGA: A Case Study
  • FPNA: Concepts and Properties
  • FPNA: Applications and Implementations
  • Back-Propagation Algorithm Achieving 5 Gops on the Virtex-E
  • FPGA Implementation of Very Large Associative Memories
  • FPGA Implementations of Neocognitrons
  • Self Organizing Feature Map for Color Quantization on FPGA
  • Implementation of Self-Organizing Feature Maps in Reconfigurable Hardware
  • FPGA Implementation of a Fully and Partially Connected MLP
  • FPGA Implementation of Non-Linear Predictors
  • The REMAP Reconfigurable Architecture: A Retrospective.

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