Discretization is a new method in this paper.

本次研究的主要方法是離散化和質點運動等久久久久精品日韩久久久，這也是本文的一個新方法色哟哟在线精品入口网站，通過比較相關的資料，可以發(fā)現中国操逼操逼多黄片，這種方法是合適的天人天堂伊人网，也是可行的。

Example analysis shows that, comparing with other discretization algorithms, the algorithm proposed in this paper is satisfactory.

實例分析表明国内精品国产三级国产aA，和其它離散化算法相比A无码国产激情视频酒店，本算法取得了較滿意的結果。

The discretization of continuous attributes is one of the most main problems in applying of rough set theory.

連續(xù)屬性離散化是粗集理論應用中面臨的主要問題之一。

The detail discretization process of the control equations was given in this paper.

本文還詳細地給出了控制方程的具體離散過程欧美性情在线观看视频，具有一定的參考價值中文字幕在线观看第一页在线观看。

In addition, the quality of the calculation is greatly affected by dimension of elements and uniform degree of discretization.

此外，剖分單元的大小及剖分的均勻度也在很大程度上影響了計算的質量AV网址导航。

The first part in this dissertation is about multistep discretization of DAEs.

本文介紹的第一個方面是求解微分代數方程的多步法公式久久综合加勒比金8天国。

Discretization of continuous attributes is always one of the key problems that need urgent solutions in rough sets theory.

連續(xù)屬性的離散化是粗糙集理論亟待解決的關鍵問題之一。

We gave discretization of continuous valued attributes based on interdependence of information system.

提出了基于系統(tǒng)最大依賴度的連續(xù)屬性的離散化方法超碰碰免费。

More importantly, difference equations also appear in the study of discretization methods for differential equations.

更重要地亚洲黄色，在對微分方程的離散化方法的研究中也出現了差分方程。

This paper is mainly about discretization for inductive learning from continuous sample data.

摘 要：主要研究的是歸納式學習中連續(xù)型樣本數據的分組問題久久亚洲精品无码喷水。