Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)
- Volume 32B Issue 10
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- Pages.1358-1363
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- 1995
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- 1016-135X(pISSN)
A Study on the New Learning Method to Improve Noise Tolerance in Fuzzy ART
퍼지 ART에서 잡음 여유도를 개선하기 위한 새로운 학습방법의 연구
Abstract
This paper presents a new learning method for a noise tolerant Fuzzy ART. In the conventional Fuzzy ART, the top-down and bottom-up weight vectors have the same value. They are updated by a fuzzy AND operation between the input vector and the current value of the top-down or bottom- up weight vectors. However, it can not prevent the abrupt change of the weight vector and can not achieve good performance for a noisy input vector. To solve the problems, we updated using the weighted sum of the input vector and the current value of the top-down vector. To achieve stability, the bottom-up weight vector is updated using the fuzzy AND operation between the newly learned top-down vector and the current value of the bottom-up vector. Computer simulations show that the proposed method prominently resolves the category proliferation problem without increasing the training epoch for stabilization in noisy environments.
Keywords