FPGA Implementations of Neural Networks

Chapter 1 FPGA Neurocomputers

Chapter 2 On the Arithmetic Precision for Implementing Back-Propagation Networks on FPGA: A Case Study

Chapter 3 FPNA: Concepts and Properties

Chapter 4 FPNA: Applications and Implementations

Chapter 5 Back-Propagation Algorithm Achieving 5 Gops on the Virtex-E

Chapter 6 FPGA Implementation of Very Large Associative Memories

Chapter 8 Self Organizing Feature Map for Color Quantization on FPGA

Chapter 9 Implementation of Self-Organizing Feature Maps in Reconfigurable Hardware

Chapter 10 FPGA Implementation of a Fully and Partially Connected MLP

Chapter 11 FPGA Implementation of Non-Linear Predictors

Chapter 12 The REMAP Reconfigurable Architecture: A Retrospective