In order to optimize the design of MLP network structure for fault classification, an optimum approach based on fuzzy logic is presented.

为了优化用于故障分类的多层前馈网络结构配置，提出了一种基于模糊逻辑的优化方法。

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In order to improve the accuracy and stability of iris image classification, an iris image classification method was developed based on minimax probability machine.

为了提高虹膜图像分类的准确性和稳定性，提出了一种基于最小最大概率机的虹膜图像分类方法。

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In order to increase accuracy in gender classification, an iterative learning approach combining support vector machine (SVM) and active appearance model (AAM) was proposed.

为了提高性别检测的精度，提出了一种支持向量机(SVM)与主动外观模型(aam)相结合的迭代学习算法。

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In order to increase accuracy in gender classification, an iterative learning approach combining support vector machine (SVM) and active appearance model (AAM) was proposed.

为了提高性别检测的精度，提出了一种支持向量机(SVM)与主动外观模型(aam)相结合的迭代学习算法。

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