• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Neural nets Wirn Vietri-98 >Exploitation of Fuzzy Information for Tokamak Plasma Shape Recognition
【24h】

Exploitation of Fuzzy Information for Tokamak Plasma Shape Recognition

机译：托卡马克等离子体形状识别的模糊信息开发

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A fuzzy inference model (F1M) for plasma shape recognition applications is presented. The model is directly extracted from a data set of examples of the problem without using any learning procedure. The most relevant advantages of the FIM are: 1) the solution of the problem can be expressed in terms of very simple as well as explainable rules, and 2) a very limited number of inputs is required to obtain a sufficient estimation accuracy. The first objective overcomes one of the most limitations of neural network models. The second one has a strong impact on the throughput time in real time applications. The resulting model can be tuned by varying the parameters of the membership functions (centres and variances of the gaussian functions) in order to best fit the data set distribution. The qualitative analysis of the data set may also capture relevant insight on some difficult aspect of the problem, like its basic ill-posedness and the detection of category transition. The results presented in this paper regards a benchmark database of simulated plasma equilibria in the ASDEX-Upgrade machine. The main conclusion is that a FIM is an efficient tool for real time analysis of magnetic data in tokamak reactors.
机译：提出了一种用于等离子体形状识别的模糊推理模型（F1M）。该模型是直接从问题示例的数据集中提取的，而无需使用任何学习过程。 FIM最相关的优点是：1）可以用非常简单且可解释的规则来表示问题的解决方案，并且2）需要非常有限数量的输入才能获得足够的估计精度。第一个目标克服了神经网络模型的最大局限之一。第二个因素对实时应用程序中的吞吐时间有很大影响。可以通过改变隶属函数的参数（高斯函数的中心和方差）来调整所得模型，以最佳地拟合数据集分布。对数据集的定性分析还可以获取有关问题某些困难方面的相关见解，例如其基本不适状况和类别转换的检测。本文介绍的结果涉及ASDEX-Upgrade机器中模拟血浆平衡的基准数据库。主要结论是，FIM是实时分析托卡马克反应堆中磁数据的有效工具。

著录项

  • 来源
    《Neural nets Wirn Vietri-98》|1998年|236-241|共6页
  • 会议地点 Vietri sul Mare(IT)
  • 作者

    Mario Versaci;

  • 作者单位

    Associazione EURATOM/ENEA/CREATE Universita di Reggio Calabria - Facolta di Ingegneria - DIMET Via Graziella, Loc. Feo di Vito - I-89100 Reggio Calabria , Italy;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化系统理论;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号