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	A Novel Fitting Algorithm Based On Bacterial Swarm Optimizer For Stochastic Data
	Wu, P.Z.; Li, M.S.; Ji, T.Y.; Wu, Q.H.; Shang, X.Y.
	2013
会议名称	2013 5th Computer Science and Electronic Engineering Conference, CEEC 2013
会议地点	Colchester, United kingdom
英文摘要	This paper proposes a novel stochastic algorithm, which aims to describe the random distributions of experimentally acquired data. Generally, such data can be satisfactorily modeled through the use of a Gaussian distribution. However, it is not always the case, instances can arise in which the distributions of measured data are not strictly Gaussian in their nature. The present work adopts Bacterial Swarm Optimizer (BSO), which has been inspired from bacterial foraging behavior and quorum sensing, to optimize the Probability Density Function (PDF) for describing a particle identification spectrum constructed from data collected in an experiment undertaken at Gesellschaft fu¨r Schwerionenforschung (GSI), Darmstadt, Germany. Our studies indicates that the PDF proposed in the present paper is more accurate than that of several convention methods.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4923]
专题	深圳先进技术研究院_医工所
作者单位	2013
推荐引用方式 GB/T 7714	Wu, P.Z.,Li, M.S.,Ji, T.Y.,et al. A Novel Fitting Algorithm Based On Bacterial Swarm Optimizer For Stochastic Data[C]. 见:2013 5th Computer Science and Electronic Engineering Conference, CEEC 2013. Colchester, United kingdom.

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