Abstract

In this paper a genetic algorithm has been developed to evolve a neural network (NN) implementation of a two input XOR function. This GA will subsequently be used to contrast the relative difficulties of implementing the XOR NN on FPGA's and FPAA's respectively. Two case studies are presented to demonstrate intrinsic evolution of the XOR network on reconfigurable analogue and digital devices. In both cases the GA evolves the synaptic weights and threshold values for an NN implemented on both field programmable gate array (FPGA) and field programmable analogue array (FPAA) hardware platforms

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.