• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IFIP 159; IFIP TC 5 / WG 5.5 IFIP International Conference on Information Technology for Balanced Automation Systems in Manufacturing And Services; 20040927-29; Vienna(AT) >APPLICATION OF SOFT COMPUTING TECHNIQUES TO CLASSIFICATION OF LICENSED SUBJECTS
【24h】

APPLICATION OF SOFT COMPUTING TECHNIQUES TO CLASSIFICATION OF LICENSED SUBJECTS

机译：软计算技术在许可主题分类中的应用

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

This paper presents an application of soft computing techniques to the construction of decision support tool used for identifying the economically unstable licensed subjects. The work has been initiated by the Czech Energy Regulatory Office whose main mission is to guard the regular heat supply without significant disturbances. Thus the main goal is to develop a tool for automatic identification of the companies that could cancel the supply due to economic problems without detailed examination of each company. In order to achieve the goal two approaches have been chosen. The first one is based on development of an aggregate evaluation criterion for assessing the firms. The other one uses artificial neural networks and multivariate decision trees induced with genetic programming for classification of the firms.
机译：本文介绍了软计算技术在决策支持工具的构建中的应用，该决策支持工具用于识别经济不稳定的许可主体。这项工作是由捷克能源监管办公室发起的，其主要任务是在不造成重大干扰的情况下保护常规供热。因此，主要目标是开发一种用于自动识别公司的工具，该工具可以由于经济问题而取消供应，而无需对每个公司进行详细检查。为了实现该目标，选择了两种方法。第一个是基于用于评估企业的总体评估标准的。另一类则使用人工神经网络和通过遗传编程引入的多元决策树来对企业进行分类。

著录项

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