• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (4): 145-147.

• 论文 • 上一篇    下一篇

基于模糊神经网络的机器人足球团队决策研究

匡雁群 李孝安   

  • 出版日期:2008-04-01 发布日期:2010-05-19

  • Online:2008-04-01 Published:2010-05-19

摘要:

机器人足球团队决策依据的信息通常是模糊的、不确定的、瞬息万变的,决策系统必须具有自适应学习能力。本文提出一种基于模糊神经网络的机器人足球团队决策模型,用于建立场上关键信息元素和团队决策之间有效的映射关系。初步的仿真实验结果证明了该团队决策模型的正确性和合理性。

关键词: 机器人足球 信息融合 模糊神经网络 团队决策

Abstract:

The situation information in robot soccer games are always fuzzy, uncertain and changing rapidly, so a team decision-making system should have the abi lity of adaptive learning. In this paper, a neural network team decision-makingmodel is established based on determinate fuzzy systems. The inner mapping relations between the critical information ele- ments on court and the team decision-making results are obtained. The preliminary experimental resultsshow that this team decision-making model for robot soccer is reasonable and feasible.

Key words: robot soccer, information fusion, fuzzy neural network, team decision-making