首页> 外文会议>European Navigation Conference on Navigation for People >REAL-TIME TRAINING ALGORITHMS IN NEUROEVOLUTIONARY NAVIGATIONAL DECISION SUPPORT SYSTEM
【24h】

REAL-TIME TRAINING ALGORITHMS IN NEUROEVOLUTIONARY NAVIGATIONAL DECISION SUPPORT SYSTEM

机译:神经动力学导航决策支持系统中的实时培训算法

获取原文

摘要

The paper presents the idea of using advanced machine learning algorithms to aid decision making in ship manoeuvring in real time. Evolutionary neural networks are used in this purpose. In the simulated model of manoeuvring ship a helmsman is treated as an individual in population of competitive helmsmen, which through environmental sensing and evolution processes learn how to navigate safely through restricted waters.
机译:本文介绍了使用先进机器学习算法的思路,以实时地驾驶船舶机动的决策。以此目的使用进化神经网络。在机动船的模拟模型中,舵手被视为竞争舵手人口中的个人,通过环境传感和演化流程学习如何通过限制水域安全地导航。

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