Title :
The application of fuzzy set and neural network in system identification and classification
Author :
Goh, K.B. ; Chiang, W.-L.
Author_Institution :
Dept. of Civil Eng., Nat. Central Univ.
Abstract :
Outlines a new learning algorithm to deal with interval information for a feedforward neural network. From the concept of fuzzy sets and using the vertex method, a new backpropagation neural network, called virtual vertex backpropagation, VVBP, is presented. A dynamic tracing machine is introduced to overcome weight correction in the learning process. Two applications in simple system identification and pattern classification are presented to discuss the effectiveness of VVBP
Keywords :
backpropagation; feedforward neural nets; fuzzy neural nets; identification; pattern classification; dynamic tracing machine; feedforward neural network; fuzzy sets; interval information; learning algorithm; pattern classification; system identification; vertex method; virtual vertex backpropagation; weight correction; Feedforward neural networks; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Information processing; Intelligent networks; Machine learning; Neural networks; Neurons; System identification;
Conference_Titel :
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-3850-8
DOI :
10.1109/ISUMA.1993.366776
