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Design of a Stochastic Re-Configurable Artificial Neural Networks Using FPGA

Manal; Hannan A. R. Akkar; Mutaz S. Abdul-Wahab

Volume 9, Issue 1 , December 2009, , Page 72-94

Abstract
  Abstract: This paper uses the theory of stochastic arithmetic as a solution for the FPGA implementation of a complex feed forward, multi layered neural network. Compared with the traditional digital implementations, the stochastic approach simplifies the computation involved and saves digital resources. ...  Read More ...