A Comparative Analysis of Fuzzy ART Neural Network Implementations: The Advantages of Reconfigurable Computing
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چکیده
This paper analyzes the performance differences found between software and hardware/sofware implementations of a reformulated Fuzzy ART neural network algorithm. This reformulated algorithm is a solution for a real time radar signal clustering problem. The software implementations run on a 50MHz TMS320C40 DSP, and the hardware/sofware implementation runs on the same DSP for its software part, whereas the FPGA based application specific hardware accelerator is realized on the MiroTech’s X-CIM TIM40 module. This investigation of FPGA based acceleration gave excellent results for our application: acceleration factors up to 68.9 have been reached.
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تاریخ انتشار 1998