提貝斯提高原 的英文怎麼說

中文拼音 [dībèisīdīgāoyuán]
提貝斯提高原 英文
massif tibesti
  • 提 : 提動詞（垂手拿著） carry （in one's hand with the arm down）
  • 貝 : 名詞1 [動物學] （蛤螺等有殼軟體動物的統稱） cowry; cowrie; shellfis 2 （古代用貝殼做的貨幣） cowr...
  • 斯 : Ⅰ名詞（古代驅疫時用的面具） an ancient maskⅡ形容詞[書面語] （醜陋） ugly
  • 高 : Ⅰ形容詞1 （從下向上距離大; 離地面遠） tall; high 2 （在一般標準或平均程度之上; 等級在上的） above...
  • 原 : Ⅰ形容詞1 （最初的; 原來的） primary; original; former 2 （沒有加工的） unprocessed; raw Ⅱ動詞（原...
  • 貝斯 : alkemya: boubanebass boubane
  • 高原 : [地理學] continental plateau; plateau; highland; tableland
  1. As a special group of ewenki ethnic minority, with a population of 232, they speak olguya dialect, a branch of manchu tungus language family. according to the historical documents, as early as back in 2000 bc, their ancestors already lived in wender forest tundra, over of nibuchu river, north - east part of out baigal lake and baigal lake from 16th century to the mid - 17 century, following wild deer, they came to the area near weile river, branch of lena river and weitmu, north - west of baigal lake. during 18th century, along silik river, this group of people reached big sin ' an mountain. the rich natural resources there became the sources of their livelihood

    馴鹿鄂溫克人是指居住在內蒙古自治區呼倫貝爾市所轄根河市敖魯古雅鄂溫克民族鄉的鄂溫克人，史稱「使鹿部」 ，使用的語言是滿?通古斯語族鄂溫克語敖魯古雅方言，人口在2001年鄉統計為232人，是我國鄂溫克族中的獨特群體。據史書記載，馴鹿鄂溫克人的祖先在公元前2000年就居住在外貝加爾湖和貝加爾湖東北部尼布楚河上游的溫多山林苔原高地。到了16世紀至17世紀中葉，他們追隨野生馴鹿至貝加爾湖西北列拿河支流威呂河和維提姆河一帶。
  2. Classification has always been a central issue on data mining, machine learning and pattern recognition, classifier, as an important model and method of machine learning and data mining, is very important to the development and application of machine learning and the data mining. the classifier ’ s effect closely correlates with the characteristic of data sets, at present, the construction of classifier is generally based on the character of different datasets, there is no such a classifier which is suitable for any data sets. under uncertain conditions, the bayes network is a powerful tools for the knowledge expression and inference, but for difficulties in constructing its network structure and very high time complexity, it has not been considered as a classifier algorithm until the emergence of na ? ve - bayes classifier

    分類一直是數據挖掘、機器學習和模式識別等研究的核心問題，貝葉斯網路是作為知識表示和推理的強大工具，由於搜索空間巨大和學習困難的原因，直到樸素貝葉斯理論的出現才被作為分類器演算法，改進樸素貝葉斯分類器是貝葉斯分類器學習的一個主要的研究方向。遺傳演算法本質上是一種求解問題的高效并行全局搜索演算法，適合應用於那些改進的分類器的結構學習中。本文提出了一種基於遺傳演算法的ban分類器演算法。
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