Dynamic Fuzzy Neural Network based on Lazy Learning algorithm for the Three Stage Inverted Pendulum

摘要：

In order to avoid the over fitting and training and solve the knowledge extraction problem in fuzzy neural networks system. A Lazy Learning Dynamic Fuzzy Neural Network (LL-DFNN) algorithm is proposed.The Learning Set based on Lazy Learning is constituted from message. Then the framework of Lazy Leaning Dynamic Fuzzy Neural Network is designed and its stability is proved. Finally, Simulation results of the three stage inverted pendulum system indicates that the novel Lazy Learning Dynamic Fuzzy Neural Network is fast, compact, capable in generalization.

关键词： Lazy Learning algorithm dynamic fuzzy neural network nonlinear system K-VNN three stage inverted pendulum system

作者: ZHANG Ping HAO Xiaohong XU Wei Tao

作者单位: Department of Electrical and Information Engineering Lanzhou University of Technology Lanzhou, Gansu Province,china

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 451-454

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）