摘要
机器人足球系统是综合性的人工智能研究平台。决策在机器人足球比赛中起着至关重要的作用。通过对机器人足球系统的分析,论证了信息融合应用于机器人足球系统的可行性。针对机器人足球比赛决策中的实际问题,提出了基于径向基函数(RBF)神经网络的信息融合方法,并设计了足球机器人射门实验。实验结果证明该方法有助于提高整个系统决策的准确性。
Robot soccer system is an integrated platform of artificial intelligence. Decision is important to soccer game. According to analyzing the robot soccer system, feasibility of application of information fusion in robot soccer is demonstrated. A solution of infor- mation fusion based on RBF neural networks is proposed to solve the reality problem in decisionof robot soccer game. And an experiment about shoot is designed. The experimental results verify that the method can improve the whole decision system in accuracy.
出处
《计算机工程与设计》
CSCD
北大核心
2005年第3期704-706,共3页
Computer Engineering and Design
