Title :
Hybrid multilayer perceptron/EBL approach for concept generalization
Author :
Yang, Jie ; Shi, Pengfei
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., China
Abstract :
Concept generalization under incomplete domain theory is a very important research aspect in artificial intelligence. Current multilayer perceptron and EBL (explanation based learning) approaches cannot deal with it effectively. We present a new method, hybrid multilayer perceptron/EBL approach for concept generalization, which can deal with concept generalization more effectively
Keywords :
explanation; generalisation (artificial intelligence); learning (artificial intelligence); multilayer perceptrons; uncertainty handling; artificial intelligence; concept generalization; explanation based learning; hybrid multilayer perceptron EBL approach; incomplete domain theory; Artificial intelligence; Fault diagnosis; Fault tolerant systems; Image processing; Learning; Machine learning; Multilayer perceptrons; Neural networks; Pattern recognition; Reliability theory; System testing;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.669180
