文件名称：An Online EHW Pattern Recognition System Applied to Sonar Spectrum Classification
文件大小：559KB
文件格式：PDF
更新时间：2012-12-20 14:48:49
EHW ,Pattern Recognition, Classification
演化硬件在声纳识别中的应用 Abstract: An evolvable hardware (EHW) system for high-speed sona return classification has been proposed. The system demonstrates an average accuracy of 91.4% on a sonar spectrum data set. This is bette than a feed-forward neural network and previously proposed EHW architectures. Furthermore, this system is designed for online evolution Incremental evolution, data buses and high level modules have been utlized in order to make the volution of the 480 bit-input classifier feasible The classification has been implemented for a Xilinx XC2VP30 FPGA with a resource utilization of 81% and a classification time of 0.5μs.