Secondly, we did some investigation on the weightiness of training

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This method strengthens the weightiness of the point whose light intensity is high,increases the measuring accuracy.

光切法是近10年發(fā)展起來的一種非接觸測(cè)量方法丁香花高清在线观看，其基本原理是用線光源產(chǎn)生的光平面照射被測(cè)物體，由于

Contrast with existing study, we take more attention to multidisciplinary weightiness than multidisciplinary approach, and we take more attention to transition of practice in college than combination of study and practice. This can be as reference to construct electronic commerce specialty and training system.

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This thesis introduced the development actuality of CAD software, and indicated the weightiness of this research project; Stated all types develop methods and that function and application range themselves.

本論文敘述了目前CAD軟件的開發(fā)現(xiàn)狀人人在线人人操；指出了對(duì)Pro/ENGINEER進(jìn)行高級(jí)開發(fā)的必要性亚洲美女天堂网；介紹了目前Pro/ENGINEER開發(fā)的常見方法；并描述了各種開發(fā)方法的功能的適用范圍福利一区首页。

In the different condition of working of structure, the different assigned way about the weightiness coefficient is confirmed , and it will be amended suitability at last , in order to accord with the actual working condition .

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As a result of the lack of data, both comment of indexe and data for relative weightiness of indexes root in Delphi method.

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Based on BP neural network model technology, a new approach was developed and applied to appraise the input parameters′significant degree through the weightiness and its distribution between the input and output layer.

摘要在BP神經(jīng)網(wǎng)絡(luò)建模技術(shù)的基礎(chǔ)上人人操人人草人人草人人叉人，提出利用神經(jīng)網(wǎng)絡(luò)輸入層與輸出層之間的網(wǎng)絡(luò)權(quán)值及其分布來求各輸入?yún)?shù)重要程度的方法。

And then the following calculation turned out all these evaluation standards and influential factors weightiness.

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We should attract attention to the result of PCA that doesn't show which variable is most important, interesting and doesn't show how to compare one variable's weightiness with another.

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Based on BP neural network model technology,a new approach was developed and applied to appraise the input parameters′significant degree through the weightiness and its distribution between the input and output layer.

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