American Journal of Applied Sciences

VHDL DESIGN AND HARDWARE REALIZATION OF HYBRIDARTIFICIAL INTELLIGENCE ARCHITECTURE

Rajeswaran Nagalingam, Tenneti Madhu and Munagala Suryakalavathi

DOI : 10.3844/ajassp.2014.782.788

American Journal of Applied Sciences

Volume 11, Issue 5

Pages 782-788

Abstract

Evolutionary Algorithms (EA) use Genetic Algorithm (GA) in many optimization problems to efficiently compute the function value in less time. In this study the weight optimization of the Artificial Neural Net-work (ANN), using the Back Propagation Network (BPN), is tested and presented with GA. The combined architecture of Neuro-Genetic (Hybrid Artificial Intelligence) approach is proposed and simulated results are provided along with device Utilization, Simulation time, Timing analysis and power analysis by using very high speed integrated circuits Hardware Description Language (HDL).

Copyright

© 2014 Rajeswaran Nagalingam, Tenneti Madhu and Munagala Suryakalavathi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.