Intelligent Decision System Based on SOM-LVQ Neural Network for Soccer Robot

摘要：

To make real-time and optimal decisions, the decision system of the soccer robot must be able to learn priori-knowledge given by humans and its own match experience. These two learning issues should be addressed respectively in two learning phases of the system, i.e., the offline learning and the on-line learning. The SOM-LVQ model is thus proposed in this paper. Compared with conventional decision models and typical BP neural network model, the SOM-LVQ provides a knowledge structure based on which the on-line learning is much easier to fulfill. An intelligent decision system based on the SOM-LVQ model was built. In matches with different opponents, this intelligent system showed outstanding adaptivity and achieved much higher right decision ratio than others.

关键词： soccer robot intelligent decision neural network

作者: Bin Chen Chenxi Xiao Xiaoshen Song

作者单位: School of Electronics and Information Northwestern Polytechnical University Xian China School of Automation Northwestern Polytechnical University Xian China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 323-326

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）