VHDL DESIGN AND HARDWARE REALIZATION OF HYBRIDARTIFICIAL INTELLIGENCE ARCHITECTURE
- 1 Department of ECE, SNS College of Technolgoy, Coimbatore, Tamilnadu, India
- 2 Principal, Swarnandhra Institute of Engg. and Tech., Narasapur Andhrapradesh, India
- 3 Department of EEE, Jawaharlal Nehru Technological University, Hyderabad Andhrapradesh, India
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).
DOI: https://doi.org/10.3844/ajassp.2014.782.788
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.
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Keywords
- ANN
- Evolutionary Algorithm
- GA
- Hybrid AI
- VHDL