本篇论文中，灰色理论被应用到一个两层的修正竞争式学习网路上。

In this paper, the grey theory is applied to a two-layer Modify Competitive Learning Network (MCLN) in order to generate optimal solution for VQ.

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本课程网页包含的互动彩色动画及线上教科书经“史隆基金会”经费补助，并由其旗下“非同步学习网路”计画之授权。

The interactive color animations and the on-line textbook were made possible by a grant from the Sloan Foundation under their program supporting ALN, Asychronous Learning Networks.

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计算机运用人工的神经网路（ANN）和生长和学习网路（GAL）进行分类，这两个网路都是按照与某一特殊诊断相关的标准声音来设计和培养的。

The classification uses an Artificial Neural Network (ANN) and a Grow and Learn (GAL) network. These are trained with standardized sounds associated with a specific diagnosis.

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计算机运用人工的神经网路（ANN）和生长和学习网路（GAL）进行分类，这两个网路都是按照与某一特殊诊断相关的标准声音来设计和培养的。

The classification uses an Artificial Neural Network (ANN) and a Grow and Learn (GAL) network. These are trained with standardized sounds associated with a specific diagnosis.

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