J4 ›› 2008, Vol. 30 ›› Issue (4): 145-147.
• 论文 • 上一篇 下一篇
匡雁群 李孝安
出版日期:
发布日期:
Online:
Published:
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
匡雁群 李孝安. 基于模糊神经网络的机器人足球团队决策研究[J]. J4, 2008, 30(4): 145-147.
0 / / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://joces.nudt.edu.cn/CN/
http://joces.nudt.edu.cn/CN/Y2008/V30/I4/145