International Journal of Managment, IT and Engineering
  • Year: 2013
  • Volume: 3
  • Issue: 3

Implementation of fuzzy – ART Network using VLSI

  • Author:
  • Ashwini S. Gawarle
  • Total Page Count: 16
  • Page Number: 498 to 513

PICE, Nagpur

Online published on 24 October, 2013.

Abstract

The key objective is to present a mixed- mode VLSI implementation of the fuzzy-ART Structures. The proposed cells are composed of the following: current subtract circuit, multiplier/divider and the S-Z shapes circuit. The efficient performance can be achieved by the individual simulation of the new cells and, second, by the implementation of a decision making system that uses the Mamdani inference method and TMF cells as the knowledge base. Minimum and maximum circuits can be used for the implementation of the Mamdani inference method. The computation can be done in analog current mode. The design of Bias Column Peripheral Cell, Fuzzy-ART Array Cells along with the various Fuzzy-ART structures is to be done. The Measurement of “Column Bias” Cells, “Weight Currents” will be done. The results of above will be verified with the standard algorithm.

Keywords

Membership function, VLSI, decision making system, Adaptive resonance theory (ART), hardware implementations