ANGE: automatic neural generator

  • Authors:
  • Leonardo Reis;Luis Aguiar;Darío Baptista;Fernando Morgado Dias

  • Affiliations:
  • Centro de Competências de Ciências Exactas e da Engenharia, Universidade da Madeira, Funchal, Madeira, Portugal;Centro de Competências de Ciências Exactas e da Engenharia, Universidade da Madeira, Funchal, Madeira, Portugal;Centro de Competências de Ciências Exactas e da Engenharia, Universidade da Madeira, Funchal, Madeira, Portugal;Centro de Competências de Ciências Exactas e da Engenharia, Universidade da Madeira, Funchal, Madeira, Portugal

  • Venue:
  • ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
  • Year:
  • 2011

Quantified Score

Hi-index 0.01

Visualization

Abstract

Artificial Neural Networks have a wide application in terms of research areas but they have never really lived up to the promise they seemed to be in the beginning of the 80s. One of the reasons for this is the lack of hardware for their implementation in a straightforward and simple way. This paper presents a tool to respond to this need: An Automatic Neural Generator. The generator allows a user to specify the number of bits used in each part of the neural network and programs the selected FPGA with the network. To measure the accuracy of the implementation an automatically built neural network was inserted in a control loop and compared with Matlab.