计算机工程与应用Issue(14)：189-193,5.DOI:10.3778/j.issn.1002-8331.1211-0254
基于人工蜂群算法的超声回波参数估计
Artificial bee colony algorithm for parameter estimation of ultrasonic echo
摘要
Abstract
This paper proposes a parameter estimation method for nonlinear Gaussian model of ultrasonic echo based on artificial bee colony algorithm, which is applied to solve combinatorial optimization problems and continuous optimiza-tion problems. It gives the basic steps of the algorithm, and simulates the performance of the algorithm in different initial conditions. Simulation results show that, the estimation accuracy of the algorithm is independent of the initial value selec-tion. And it not only can successfully estimate the various parameters of the ultrasonic echo, but also can achieve the opti-mal solution in the global scope. Compared with ant colony optimization that applied to ultrasonic echo parameter estima-tion, the algorithm has the advantages of fast convergence speed, short running time, robustness, real-time processing.关键词
人工蜂群算法/群体智能/全局优化/超声回波/超声检测Key words
artificial bee colony algorithm/swarm intelligence/global optimization/ultrasonic echo/ultrasonic testing分类
信息技术与安全科学引用本文复制引用
周京华,张小凤,张光斌..基于人工蜂群算法的超声回波参数估计[J].计算机工程与应用,2014,(14):189-193,5.基金项目
陕西省自然科学基金（No.2012JM1013）；西安市科技计划项目（No.CXY1206（7））；中央高校基本科研业务费专项资金资助（No.GK201102026）。 （）
