Title :
Catastrophic forgetting in neural networks: the role of rehearsal mechanisms
Author_Institution :
Dept. of Comput. Sci., Otago Univ., Dunedin, New Zealand
Abstract :
The author examines the problem of catastrophic forgetting-the overwriting of old information-in neural networks. He notes that R. Ratcliff´s (1990) experiments with rehearsal regimes are a possible solution to catastrophic forgetting and describes sweep rehearsal-a much more effective regime. The use of sweep rehearsal, however, eventually encounters practical limits as the ability to recognize learned items begins to diminish. The author suggests that sweep rehearsal extends the approach of rehearsal mechanisms as far as is practicable, and exposes their eventual limitations
Keywords :
learning (artificial intelligence); neural nets; catastrophic forgetting; neural networks; rehearsal mechanisms; sweep rehearsal; Computer science; Formal specifications; Information processing; Intelligent networks; Learning systems; Neural networks; Robustness; Stability; Supervised learning; Unsupervised learning;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-4260-2
DOI :
10.1109/ANNES.1993.323080