本文提出一种基于思维进化算法的模糊神经网络变压器故障诊断方法。

This paper proposes a new transformer fault diagnostic method using fuzzy neural network based on mind evolutionary algorithm.

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目的在基于思维作业的脑-机接口中，探讨如何提取脑电信号特征并对其进行准确有效地分类。

Objective To investigate some methods on extraction and classification of electroencephalography (EEG) signals during mental tasks for designing brain computer interfaces (BCI).

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自从思维导图工具和基于思维可视化原理的理念引入到教育领域以来，已经在教育教学过程中产生了积极的影响。

Since Mind Mapping approach and the concept based on the theory of thinking visualization were introduced into the field of education, it has brought a positive effect upon teaching and education.

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