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Chinese translation for "wuhan iron and steel company"

武汉钢铁公司

Related Translations:
wuhan:  湖北武汉武汉市
wuhan guanggu:  湖北武汉职业足球俱乐部武汉光谷武汉红金龙武汉红桃k武汉黄鹤楼
wuhan netclub:  网友会
wuhan university:  武汉大学
wuhan port:  武汉港
wuhan incident:  七二零事件
cwu wuhan air wuhan airlines:  武汉航空公司 中国
wuhan acrobatic troupe:  武汉杂技团
wuhan university journal:  武汉大学学报
shangrila hotel wuhan:  武汉香格里拉大饭店
Example Sentences:
1.This thesis is based on the project " killing oxygen by adding aluminum model automatic controlling system rebuilding of the second steelwork of wuhan iron and steel company " , the combined prediction model of observed data sequences in the killing oxygen by adding aluminum process is the basic of this automatic controlling system
本课题的研究背景是基于“武钢二炼钢定氧加铝模型自动控制系统改造”项目,对炼钢的定氧加铝工艺中建立观测数据序列的混合预测模型是定氧加铝自动控制系统的基础。
2.Finally , according to the scheme , a set of remote monitor system based on heterogeneous monitor platform was configured with monitor platforms of coke - preparation workshop in coke plant of wuhan iron and steel company and efpt process controlling experiment equipment . the scheme and the implementation are combined together perfectly , in which good result was got and an effective method to raise the efficiency of the industrial monitor system was offered
最后,运用该方案,在武钢焦化公司备煤车间监控平台和efpt -过程控制实验监控平台的基础上,构建了一套基于异构监控平台的远程监测模拟系统,将本文所述方案应用于实际,取得了良好的效果,为提高工业监控系统的效率提供了一种有效的方法。
3.While putting rough set theory into practice , this thesis pays attention to setting - up the proper data structure . in order to improve the data utilization ratio and promote rule quality , this thesis puts forward the method of " divide equally and examine each other this thesis bring forward the method of dynamic reduce to overcome data noise and confirm the best reduction finally with the help of rosetta tool software we apply the above concept and method to reality , and succeeded in obtaining the optimum rule for the expert system of production scheduling in daye iron ore mine , wuhan iron and steel company
由于标准粗糙集模型对数据噪音高度敏感以及工程应用中数据噪音引入的不可避免性,标准粗糙集模型在实际应用中存在一系列问题,为克服数据噪音以及规则泛化的需要,本文采用变精度模型,由此模型引入近似约简方法。本文在将粗糙集理论及变精度粗糙集模型应用于实际的同时,注重研究了适当数据结构的建立。为提高数据利用率,提升规则生成的质量,提出了平分互测规则集泛化能力考核方法。
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