A Novel Fitting Algorithm Based On Bacterial Swarm Optimizer For Stochastic Data
文献类型：会议论文
| 作者 | Wu, P.Z.; Li, M.S.; Ji, T.Y.; Wu, Q.H.; Shang, X.Y. |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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