Classification Function of Radial-Basis Adaptive Resonance Theory Map and Its Application
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概要
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We present a radial-basis adaptive resonance theory map and its application to classification problems. In order to classify input data, the system generates radial-basis categories. Two key parameters can control the number and size of the categories. Performing numerical experiments for two types of traditional expectant mothers, we have investigated the effects of key parameters on the classification functions.
- 信号処理学会の論文
信号処理学会 | 論文
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