reduction n. 1.缩小,减少;降级,降位;(刑罚等的)轻减;减速;减价,折扣。 2.(城市、国家等的)陷落,投降,被征服、变成 (to; into)。 3.破落,没落;【物理学】衰减。 4.类别;碎矿;提炼。 5.【数学】简化,约简,缩减;化归。 6.(测量结果的)整理,(代号等的)译解;【无线电】订正。 7.【化学】还原法,改格法;【摄影】减薄。 a 10% reduction 九折。 great reductions in prices 大减价。 the reduction of armaments 裁(减)军(备)。 ascending [descending] reduction 由小[大]单位改成大[小]单位的换算法。 reduction to absurdity=reductio ad absurdum.
After that we study on the ordered decision table and propose a new heuristic attribute reduction algorithm based on dominance matrix , whose time complexity is polynomial 再次,对有序决策表进行了研究,提出了一种基于优势矩阵的启发式属性约简算法。
With a thorough research on the structure of power grid , we come up with a network reduction algorithm . this algorithm can simplify the circuit and decrease its " dimension 本文在认真研究电源网格拓扑结构的基础上,提出了电源网格压缩算法,极大地简化了电路,降低了电路的求解规模。
This paper proposed a blocking artifacts reduction algorithm based on feature analysis in wavelet domain in order to reduce blocking artifacts while preserving edge and texture information 提出一种基于小波域特征分析的去块效应算法,目的是尽量消除块效应的同时充分保护图像的边缘信息。
Attribute reduction algorithm is the key for the model and the focus of the rough sets . for the time being , many reduction algorithm are presented , however , most of them are inefficient or impractical 到目前为止,在属性约简算法方面已经有了一些成果,然而还没有一个公认的、高效的约简算法。
In this paper , rough set theory has been discussed . by analysis and synthesis of data mining algorithms based on rough set theory , three new kinds of attributes reduction algorithms have been presented 文中对粗糙集理论进行了研究,在分析和综合基于粗糙集理论的数据挖掘算法基础上,提出了三种新的属性约简方法。
Xiaotao chang , dongrui fan , yinhe han , zhimin zhang . “ soc leakage power reduction algorithm by input vector control ” . international symposium on system - on - chip 2005 ( issoc2005 ) , november 14 - 17 , 2005 , tampere , finland 黄海林,范东睿等, “嵌入式处理器中访存部件的低功耗设计研究” ,计算机学报, 2006年5期( 815 ? 821 ) 。
In this paper , reduction algorithm based on heuristic information , which is efficient and simple , is presented firstly . the algorithm is proved to have good performance by experiments on uci datum 本文首先提出了一种基于启发式信息的约简算法,该算法简单高效,通过对uci的8组数据进行实验,证明该算法具有良好的性能。
Chapter two is mainly about reduction algorithm based on the attributes of dependability . this algorithm is in fact reduced on the basis of the knowledge of rough sets , and it is obviously improved comparing with the former ones 在第二章里重点讲述了基于依赖度的属性的约简算法,该算法实质上是基于粗糙集中知识约简的。
In this paper , considering the low efficiency of the reduction algorithm , a complete heuristic reduction algorithm is presented the better effect can be tested by the experiment on uci data 本文深入分析了完备算法低效性的根源,结合启发式信息给出了一种完备的属性约简算法。对uci数据实验结果表明,这个算法是有效的,完备的。