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self-learning system in Chinese

Pronunciation:
How to pronounce "self-learning system""self-learning system" in a sentence

Translationmobile phoneMobile

  • 自學(xué)習(xí)系統(tǒng)

Examples

  • Self - learning system
    自學(xué)習(xí)系統(tǒng)
  • The real - time accurate parameters are then transferred to the stochastic optimal controller by the self - learning system to control the attitude of satellites
    學(xué)習(xí)系統(tǒng)將干擾白噪聲參數(shù)的精確估計(jì)值傳送至隨機(jī)最優(yōu)控制器以獲得精度優(yōu)良的控制效果,通過仿真研究表明了方法的有效性。
  • This thesis is arranged as follows : in this paper we build a self - learning system for detection rules of named entity alignment using the transformation - based error - driven learning , which has succeeded in parsing
    本文從以下幾個(gè)方面進(jìn)行了研究: 1 .本文運(yùn)用在句法分析方面取得成功的基于轉(zhuǎn)換的錯(cuò)誤驅(qū)動(dòng)算法建立了一個(gè)漢英名實(shí)體詞對(duì)齊的自學(xué)習(xí)系統(tǒng)。
  • On the base of the common structure of expert system and the simple data collection system , the author expatiate the principle , design and implement of knowledge database , inference engine , explain system and self - learning system of the fault diagnosis expert system
    作者以專家系統(tǒng)的一般結(jié)構(gòu)和簡(jiǎn)單的數(shù)據(jù)采集系統(tǒng)為基礎(chǔ),詳細(xì)闡述了故障診斷專家系統(tǒng)中知識(shí)庫(kù)、推理機(jī)、解釋機(jī)制和自學(xué)習(xí)機(jī)制的原理以及設(shè)計(jì)實(shí)現(xiàn)。
  • After building a large corpus that has 3529 bilingual sentences which was word aligned manually , the self - learning system retrieves a large amount of rules . not only retrieving of these rules is easy to use but also the accuracy of automatic detection of named entity alignment can be raised when using these rules
    在建立了一個(gè)擁有3592句手工對(duì)齊的語(yǔ)料庫(kù)之后,通過自學(xué)習(xí)系統(tǒng)獲取了大量規(guī)則,這些規(guī)則的獲取方法不僅簡(jiǎn)單易行,更在應(yīng)用于漢英名實(shí)體詞對(duì)齊中取得了很高的正確率。
  • In this paper , the upper - class intelligent control scheme is adopted according to the characteristics of tobacco re - dryer and the present control condition in order to solve the problem that the output tobacco moisture can ? keep stable . that is , to keep the old every pid control link , to add the upper - class computer so that sets up the upper - class intelligent control system that consists of the description management sub - system , the fuzzy compensation on line sub - system and the self - learning system . the following are control procedure : first of all , a series of output values of description can be obtained by the forward inference of basic controller on the basis of the information of input tobacco , then , these output values can be adjusted by the fuzzy compensation controller with inquiring the fuzzy control - list on line in the light of the output tobacco moisture error
    本文針對(duì)烤機(jī)的工藝特點(diǎn)和目前控制現(xiàn)狀,提出用上位智能控制的方法解決烤機(jī)目前存在的問題,即在保留原有各段pid控制的基礎(chǔ)上,增加上位計(jì)算機(jī),建立起由配方管理子系統(tǒng)、模糊在線修正子系統(tǒng)和自學(xué)習(xí)系統(tǒng)組成的上位計(jì)算機(jī)監(jiān)控、決策的智能控制系統(tǒng);控制過程為:基本配方控制器根據(jù)來料信息正向推理提供煙葉復(fù)烤機(jī)各段參數(shù)設(shè)定值的基值;模糊補(bǔ)償控制器根據(jù)煙葉水分偏差在線查詢模糊控制表提供相應(yīng)參數(shù)設(shè)定值的修正值,實(shí)現(xiàn)煙葉復(fù)烤機(jī)參數(shù)的在線修正;學(xué)習(xí)環(huán)節(jié)的引入實(shí)現(xiàn)煙葉配方的在線優(yōu)化。

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