Novel Dynamic Fuzzy Neural Network based on Lazy Learning algorithm

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 input and output. Then the framework of Lazy Leaning Dynamic Fuzzy Neural Network is designed and its stability is proved. Finally, Simulation results of two level 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

作者: Zhang Ping Hao Xiaohong Ma Donglin

作者单位: Lanzhou University of Technology, Lanzhou,Gansu, 730050, China Lanzhou University of Technology, Lanzhou, Gansu, 730050, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 983-986

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）