An algorithm for improving performance by training a fuzzy neural network (FNN) based on the back-propagation (BP) algorithm and grey relations is proposed. This technique is developed by directly incorporating the grey relational coefficient (GRC) into the learning rule of the BP, and a BP with GRC technique is proposed in order to improve the performance of training the FNN. From the simulation results, we demonstrate this technique applied for controlling a nonlinear fuzzy model car system and find the result is better than the classical BP algorithm for training the FNN.
|主出版物標題||Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings|
|出版狀態||已出版 - 2005|
|事件||9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia|
持續時間: 14 9月 2005 → 16 9月 2005
|名字||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|???event.eventtypes.event.conference???||9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005|
|期間||14/09/05 → 16/09/05|