Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)
- Volume 2 Issue 3
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- Pages.50-57
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- 1992
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- 1976-9172(pISSN)
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- 2288-2324(eISSN)
A Design of the Fuzzy Neural Network Image Recognizer
- Kim, Dae-Su (Artificial Intellingence Section Electronics and Telecommunications Research Institute)
- Published : 1992.09.01
Abstract
Neural networks have become more popular recently and are now being applied to numerous fiedls. One of the major applications of neural networks is image recognition. Various image recognition system have been proposed so far, but there is no definite solution yet. In this paper, we propose a design of Fuzzy Neural Network Image Recognizer(FNNIR). Our model uses a fuzzy neural network model, named SONN[KIM90]. This model returns the information of the number of clusters and cluster and cluster center values for a given image data ste. Unlike the well-kinwn backpropagation technique, we do not need retraining for new data. Our newly designed image recongitionsystem FNNIR that uses fuzzy merger is proposed and experimented for a sample color image.
Keywords