首页> 外文会议>IEEE Conference on Human Factors and Power Plants >Bayesian network modeling of operator's intent inference
【24h】

Bayesian network modeling of operator's intent inference

机译:贝叶斯网络建模算子意图推理

获取原文

摘要

While human ability has not changed within limitations, machine systems have become more complicated these years. Human, therefore, developed automation systems, but this caused human error in some situation. We will need the intent inference method in order to solve these problems because intent inference is an important element of proposing system information optimally. In this paper, we propose intent inference method. Our model contains intent inference using the whole recognition process and we use Bayesian network (BN) as inference engine. We made experiments and extract knowledge that is needed to construct BN and compare this result with simulation result.
机译:虽然人类能力在限制范围内没有改变,但这些年来机器系统变得更加复杂。因此,人类开发了自动化系统,但这导致了某些情况下的人为错误。我们需要意向推断方法来解决这些问题,因为意图推断是最佳地提出系统信息的重要因素。在本文中,我们提出了意向推理方法。我们的模型包含使用整个识别过程的意图推断,并使用贝叶斯网络(BN)作为推理引擎。我们制作了建造BN所需的实验和提取知识,并将其与模拟结果进行比较。

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