模糊均值点聚类神经网络

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI:10.1109/ICONIP.2002.1198184

P. Patil, U. Kulkarni, T. Sontakke

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引用次数: 5

摘要

提出了模糊均值点聚类神经网络(FMPCNN)及其学习算法，该算法利用模糊集作为模式聚类。通过Fisher虹膜数据验证，FMPCNN的性能优于Simpson的模糊最小-最大神经网络和Kulkarni和Sontakke提出的模糊超线段聚类神经网络(FHLSCNN)。

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Fuzzy mean point clustering neural network

Fuzzy mean point clustering neural network (FMPCNN) is proposed with its learning algorithm, which utilizes fuzzy sets as pattern clusters. The performance of FMPCNN when verified with Fisher Iris data, it is found superior to Simpson's fuzzy min-max neural network and fuzzy hyperline segment clustering neural network (FHLSCNN) proposed by Kulkarni and Sontakke.

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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.

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