標題: Finding the Capacity of Fuzzy Neural Networks (FNNs) via Its Equivalent Fully Connected Neural Networks (FFNNs)
作者: Wang, Jing
Wang, Chi-Hsu
Chen, C. L. Philip
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Neural Networks;Fuzzy Logic;Fuzzy Neural Networks;Back Propagations;Universal Approximation Theorem;Capacity of Neural Networks
公開日期: 2011
摘要: The capacity of Fuzzy Neural Network (FNN) is explored in this paper. The FNN is first transformed into an equivalent fully connected three layer neural network, or FFNN, via a new approach proposed in this paper. Then the lower and upper bounds of FNN can be found. To check the validity of the theoretical bounds, an example is illustrated with the trainings to yield excellent capacity matching with the theoretical bounds. This new finding has its emerging values in all engineering applications using FNN, such as intelligent adaptive control, pattern recognition, and signal processing, ... , etc.
URI: http://hdl.handle.net/11536/134797
ISBN: 978-1-4244-7317-5
ISSN: 1098-7584
期刊: IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011)
起始頁: 2193
結束頁: 2198
Appears in Collections:Conferences Paper