PDF《王娅高效液相色谱法测定地表灰尘中的 16 种多环芳烃》

16 PAHs were from 0.08 to 4.65 μg/kg with good linearity, the recoveries of standard addition ranged from 77.6% to 113.7%, relative standard deviation varied between 1.26% and 7.32%. Key words: PAHs;

surface dust;

solid phase extraction;

HPLC (责任编辑: 刘显亮) (上接第

279 页) The Improved Designing for Adaptive Equalizer Based on Optimize BP Network MIN Qiu-ying, KUANG Qing-qiang (College of Physics and Communication &

Electronics, Jiangxi Normal University, Nanchang Jiangxi 330022, China) Abstract: To against the limitation of adaptive equalizer based on the old BP neural network, a new FPGA de- signing method of improved BP neural network is brought out. The method improved the BP network from the in- terconnect architecture, training algorithm and convergence algorithm by adding the coordinator to improve the BP′s convergence rates and error compatibility. Besides, the convergence rates is obviously accelerated by adopting the pipelining capability and concluding the separated bank structures according to BP network′s paralleled. Finally it was validated this simple-configuration, high-convergence rates BP network is validity and feasibility by soft- ware-simulation, and the simulation of adaptive equalizer is carried out by ModelSim. Key words: BP neural network;

pipeline structure;

adaptive equalization (责任编辑: 冉小晓) ........