| Yinger Learning Dynamic Fuzzy Neural Network algorithm for the three stage inverted pendulum | |
| Zhang, Ping2; Gao, Guodong3; Zhang, Xin1; Chen, Wei2 | |
| 2016 | |
| 页码 | 701-705 |
| 英文摘要 | In order to avoid the over fitting and training and solve the knowledge extraction problem in fuzzy neural networks system. The Yinger Learning Dynamic Fuzzy Neural Network (YL-DFNN) algorithm is proposed. The Learning Set based on Yinger Learning is constituted from message. Then the framework of Yinger 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, and capable in generalization. |
| 会议录出版者 | CRC PRESS-TAYLOR & FRANCIS GROUP |
| 会议录出版地 | 6000 BROKEN SOUND PARKWAY NW, STE 300, BOCA RATON, FL 33487-2742 USA |
| 语种 | 英语 |
| WOS研究方向 | Energy & Fuels ; Environmental Sciences & Ecology ; Materials Science |
| WOS记录号 | WOS:000385792000133 |
| 内容类型 | 会议论文 |
| 源URL | [http://119.78.100.223/handle/2XXMBERH/36420]  |
| 专题 | 电气工程与信息工程学院 |
| 作者单位 | 1.State Grid Gansu Maintenance Co, Lanzhou, Peoples R China 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Peoples R China; 3.Univ Hosp Gansu Tradit Chinese Med, Lanzhou, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zhang, Ping,Gao, Guodong,Zhang, Xin,et al. Yinger Learning Dynamic Fuzzy Neural Network algorithm for the three stage inverted pendulum[C]. 见:. |
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