Based on the classical fuzzy cmeans(FCM), a function for measuring clustering validity and a heuristic method to calibrate the fuzzy exponet iteratively are defined, and a practical fuzzy neural network model is proposed.
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美
- 在傳統的模糊C-均值算法的基礎上，給出了一個(gè)衡量聚類(lèi)有效性的函數和確定模糊指數的啟發(fā)式方法，并給出了應用該算法的具體的模糊神經(jīng)網(wǎng)絡(luò )模型。
