Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2003.07d
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- Pages.1283-1286
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- 2003
Proposal of Memory Information Extension Model Using Adaptive Resonance Theory
ART를 이용한 기억 정보 확장 모델 제시
Abstract
Human can update the memory with new information not forgetting acquired information in the memory. ART(Adaptive Resonance Theory) does not need to change all information. The methodology of ART is followed. The ART updates the memory with the new information that is unknown if it is similar with the memorized information. On the other hand, if it is unknown information the ART adds it to the memory not updating the memory with the new one. This paper shows that ART is able to classify sensory information of a certain object. When ART receives new information of the object as an input, it searches for the nearest thing among the acquired information in the memory. If it is revealed that new information of the object has similarity with the acquired object, the model is updated to reflect new information to the memory. When new object does not have similarity with the acquired object, the model register the object into new memory
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