artificial objects 中文意思是什麼

artificial objects 解釋
人工物體
  • artificial : adj 1 人工的，人造的；人為的 （opp natural）。2 摹擬的 （opp genuine real）; 不自然的，矯揉造作的...
  • objects : 船舶以外之物體
  1. There is also a crisscross path which extends for 5 kilometers. within the garden, objects such as artificial mountains, ponds, bridges, flower stands, stone benches, and sports grounds, are all to be found. moreover, there are three bonsai zones in the hubei vicinity. these are called assongyuan jhuyuanandmeiyuan

    五公尺寬之條石道路長一公里許，人行步道約長五公里，園內假山水池小橋及花架石椅健身場，無所不具，另外公園虎背區建有三處盆景區，分別命名為松苑竹苑及梅苑專門培育盆景。
  2. We construct an interacting model with smart object technology and use virtual memory to remember what happened. the artificial fish in the ve looks for the target according to current inner states, the information observed by virtual perception and the information got from objects around itself. in the looking course, it utilizes basic behavior such as obstacle avoiding, reducing hungry, reducing fatigue and so on

    人工魚根據內部狀態和感知信息，以及從周圍基於行為建模的人工魚動畫技術研究浙江大學碩士畢業論文環境的物體詢問到的信息，能尋找目標魚的位置，並具有碰撞檢測及其他減少饑餓、減少疲勞等基本行為等。
  3. My utility xml objectify, discussed in previous installments, provided a way of transforming xml documents into more native - feeling " oopified " objects in python, largely in response to the somewhat artificial feel of dom

    我的實用程序xml _ objectify ，曾在前面的專欄文章中討論過，提供了一種將xml文檔轉換為更自然感覺的「 oop化」對象（在python中）的方法，主要是為了回應有點人造感覺的dom 。
  4. I allowed her to touch everything in sight, plants, glass objects, tv, vcr, lamps, speakers, candles and artificial flowers

    我允許她摸所能看到的任何東西，植物、玻璃物品、電視機、錄像機、燈、音箱、蠟燭以及人造花。
  5. In the process of comparison, it is found that the new vector used by this paper is suited to be taken as statistic feature of sar area objects. artificial neural network ( ann ) is always used in image classing. this thesis used bp network, rbf network and sofm network to analyze sar area objects, with gray level, average and wavelet analysis based features as the inputs

    人工神經網路是模式識別的重要工具，本文分別採用bp神經網路、徑向基函數（ rbf ）神經網路、自組織特徵映射神經網路對sar圖像面目標進行了分析，選用灰度值、均值、小波紋理特徵等不同的特徵作為輸入矢量，得到了高的分類精度。
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