1、

Fuzzy clustering algorithm tries to simulate the way human recognizing patterns and acquiring knowledge.

模糊聚类算法试图模拟人类区分模式和获取知识的方式.

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2、

The Application of Fuzzy Immune Network Algorithm to Flame Monitoring

模糊免疫网络算法在数字图像火焰监测中的应用

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3、

Secondly, the parameters and rules of fuzzy model are optimized by the improved genetic algorithm.

然后采用改进的跗算法优化扩展的T-S模糊模型参数和规则数.

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4、

Then, the parallel algorithm for mining Boolean association rules is improved to discover frequent fuzzy attributes.

用改进布尔型关联规则的并行挖掘算法来发现频繁模糊属性集.

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5、

Research on the Autopilot Fuzzy Control Based on the Genetic Algorithm

基于遗传算法自动舵模糊控制研究

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6、

A new hybrid learning algorithm was proposed to train the fuzzy neural network based on TSK fuzzy model. Firstly, fuzzy c-means algorithm was applied to initialize the parameters of the fuzzy neural network.

提出了一阶TSK模糊神经网络的混合学习算法,算法由三部分组成:基于模糊聚类的网络初始化;

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7、

Adaptive Fuzzy Edge Detection Algorithm based on Local Image Sharpening

基于局部图像锐化的自适应模糊边缘检测算法

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