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  • 匿名
關注:1 2013-05-23 12:21

求翻譯:比較一下幾種NAM表示方法的情況,最新的GNAM表示算法使子模式數相對于RNAM表示算法有了大幅減少,減少了8211-162166個,而DRNAM比GNAM表示效率更高,相對于GNAM表示壓縮率為8.9%-19.1%,比RNAM表示減少了11929-275497。由此可見,DRNAM算法相對于GNAM和RNAM算法具有更高的壓縮效率。是什么意思?

待解決 懸賞分:1 - 離問題結束還有
比較一下幾種NAM表示方法的情況,最新的GNAM表示算法使子模式數相對于RNAM表示算法有了大幅減少,減少了8211-162166個,而DRNAM比GNAM表示效率更高,相對于GNAM表示壓縮率為8.9%-19.1%,比RNAM表示減少了11929-275497。由此可見,DRNAM算法相對于GNAM和RNAM算法具有更高的壓縮效率。
問題補充:

  • 匿名
2013-05-23 12:21:38
Compare several methods of NAM, said the case, said the latest GNAM algorithm makes several sub-modes algorithm relative to the RNAM that have significantly reduced, reducing 8211-162166, while the DRNAM efficient than GNAM that, relative to said compression GNAM rate of 8.9% -19.1%, compared RNAM t
  • 匿名
2013-05-23 12:23:18
Compared to the case in several NAM said method, the latest GNAM algorithm that few vis-à-vis the child model RNAM algorithm that there has been a significant reduction, by 8211, and 162,166 - than GNAM DRNAM said more efficient, vis-à-vis GNAM said compression rate - 19.1 per cent, compared with 8.
  • 匿名
2013-05-23 12:24:58
Compared with a next several kind of NAM expression method situation, the newest GNAM expression algorithm caused the subschema number to be opposite in the RNAM expression algorithm had the large reduction, reduced 8211-162166, but DRNAM was higher than the GNAM expression efficiency, is opposite i
  • 匿名
2013-05-23 12:26:38
Compare several NAM representation, GNAM said of the latest algorithm makes subpattern number relative to the RNAM algorithm had been sharply reduced, reduced 8211-162166, and DRNAM than the GNAM said more efficient, compression rate of 8.9% per cent relative to GNAM said, 11929-275497 less than RNA
  • 匿名
2013-05-23 12:28:18
Compare several methods of NAM, said the case, said the latest GNAM algorithm makes several sub-modes algorithm relative to the RNAM that have significantly reduced, reducing 8211-162166, while the DRNAM efficient than GNAM that, relative to said compression GNAM rate of 8.9% -19.1%, compared RNAM t
 
 
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