artificial selecting 中文意思是什麼

artificial selecting 解釋
人工選種
  • 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...
  • selecting : 經驗的選擇，141
  1. In this paper ， the process of hydrocarbon generation and evolution in the four thermal evolutionary stages （ low - mature ， mature ， high - mature ， overmature ） of geohistory is simulated by selecting low - mature hydrocarbon source rocks and using the method in which hydrocarbons are generated from artificial pyrolysis and petroleum migration is controlled properly

    本文選用低成熟烴源巖，採取人工熱解生成油氣及適當控制石油運移的方法，模擬了4個地史熱演化階段（低熟、成熟、高熟、過熟）中油氣的生成演化過程。
  2. One end face of optical fiber sample sets on the carring - table of the micr - oscope is observed, selecting appropriate amplification, afterwards, take a ph - otograph with a ccd camera, then the picture was sent to the computer by the photograph - gathering card. the image is processed with a software automatic - ally, so this method can reduce artificial errors

    具體方法是：將待測光纖製成品的一段樣品橫截面置於顯微鏡下，經顯微鏡放大，選擇合適的放大倍數，然後用ccd攝像頭攝像，利用圖像採集卡將放大后的圖像採集進計算機，利用圖像處理技術，通過軟體進行處理，從而實現處理過程的完全自動化，減少人為測量誤差。
  3. To prevent flood, adopting non - project measures is feasible and efficient marching measures in recent years in most of counties, adequately utilizing modern science and technology such as computer, information processing, net and communication, system emulation, artificial intelligence and so on to build system that can automatically survey and forecast water information, now plays a important role in grasping the information of rainfall, water and project, in making and selecting preliminary draft of flood control and dispatch, which can greatly raises the efficiency and flexibility of flood control, and has important realistic significance and social economic benefits in minimizing flood disaster

    充分利用現代科學技術，如計算機、信息處理、網路和通訊、系統模擬、人工智慧等技術，建立水情自動測報系統，對雨、水、工情的掌握，防洪調度預案的制定、選擇和實施都有重要的使用價值，可以大大提高防洪工程措施的防洪效能和防汛調度的靈活性，對減少洪水災害具有重要的現實意義和社會經濟效益。鬱江洪水預報與調度系統內容豐富，主要有： 1 、系統設計； 2 、系統洪水預報模型； 3 、系統實時校正模型； 4 、系統河道洪水演進模型； 5 、系統水庫調度模型。
  4. In basic action layer ' s designing, it uses a fuzzy - pid control algorithm that brings the system with a good dynamic and static performance. in the whole decision - making process, the protean situation on the competition ground is expressed by an artificial intelligence method for describing the state space that is constituted by selecting a small number of discrete representative states. desired actions are set for every robot based on the tasks of the system and the strategy

    其中在進行基本動作層的設計時，採用了模糊控制與pid控制相結合的智能控制演算法，使系統具有良好的動、靜態品質；而在進行整體決策時，採用了人工智慧的狀態空間表示方法，在比賽場上瞬息萬變的態勢中選擇少量的具有代表性的離散狀態來構成狀態空間，再根據系統需要完成的任務，為機器人確定有限的動作集合，並通過決策推理，給每個機器人選擇合適的動作，從而決策得出機器人的左右輪轉速值，實現對系統的實時控制。
  5. Upon using an artificial neural network ( ann ) a new short - term climate forecast model with the monthly mean rainfall in june in the north of guangxi as predictand is established making empirical orthogonal functions ( eof ) to the 36 predictors ( 15 ssa predictors, 21 500hpa height predictors ) with over 0. 05 significant correlation level of previous 500hpa height and sea surface temperature ( sst ) field, and selecting the high relative principal components, at the same time, a new approach of constructing ann learning matrix is developed. predictive capability between the new model ( principal components ann model ) and linear regression model for the same predictors is discussed based on the independent samples and historical samples

    本文通過對廣西北部6月平均降水量（預報量）同北半球月平均500hpa高度場和北太平洋月平均海溫場進行相關普查，選取了前期36個同預報量相關顯著水平達到0 . 05以上的預報因子（ 15個海溫場預報因子， 21個高度場預報因子） ，並運用自然正交函數展開方法對這36個前期預報因子展開，取其中同預報量相關程度高的主成分，結合人工神經網路技術，提出了一種新的構造人工神經網路學習矩陣的方法，建立了一種新的短期氣候預測模型。
  6. According to the actual conditions that normal standard of selecting guiding drilling ' s rig at present lack and still depend on experience in many situations, adopt the modern artificial intelligence technology - case - based reasoning to solve this problem

    根據目前導向鉆進施工設備選擇缺乏成熟的、規范的標準，在許多情況下仍然依靠經驗的實際情況，採用現代的人工智慧技術? ?基於範例推理的方法來解決這一問題。
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