anns 中文意思是什麼

anns 解釋
安斯
  1. ( 3 ) anns are often viewed as black box models whose parameters do n ' t have any physical meaning. and the structures of anns are similar in different hydrologic systems, by this mean, the basic information such as distributing of hydrometric stations ca n ' t be utilized. this paper presents a new flood forecast model based on complex ann, which can make the information of hydrologic systems as guidance when constructing the structure of ann

    （ 3 ）通過建立復合型型人工神經網路模型的方法，有效的利用給定水文系統的先驗知識為人工神經網路模型的建模提供指導，使得建立出的模型更具合理性，該方法不同於傳統的人工神經網路建立方法，為基於人工神經網路的洪水預報建模提供了一種新的思路。
  2. The factors include antecedent precipitation of low flow period and status of karst basins ( such as lithology, landform, drainage area, drainage density, length and ratio of demotion of main river and so on. ). based on the former studies, integrated the conventional statistic methods, the technique of anns is applied in this paper for researching the law of the low flow of karst basins in guizhou altiplano

    影響喀斯特流域枯水徑流的因素異常復雜，其影響因素主要有枯季前期降水量和巖性、地貌、流域面積、河網密度、主河道長度及其比降等流域下墊面狀況。本文在前人研究的基礎上，採用人工神經網路技術，結合傳統的統計方法，研究貴州高原上喀斯特流域的枯水徑流規律。
  3. It has been used in many fields such as machinery industry, electronic industry, power industry, hydraulic engineering, chemical industry, agriculture, environment, economy and so on. this paper focuses on application of anns in the study of the karst basin and its low flow

    人工神經網路是一門正在迅速發展的交叉科學，現已廣泛應用於機械工業、電子工業、能源工業、水利工程、化學工業、農業、環境和經濟學等學科。本文主要討論人工神經網路在喀斯特流域及其枯水徑流研究中的應用。
  4. Application of an anns with sensitive ability to hydrologic forecast

    敏感型人工神經網路及其在水文預報中的應用
  5. The transient stability assessment based on anns suffers from the unavoidable misclassifications in the boundary region between the two classes due to the complexity of tsa input dimension and the limitation of ann

    由於暫態穩定評估問題輸入空間的復雜性以及神經網路本身的局限性，神經網路的分類結果中不可避免地會存在誤分類。
  6. Expert system is mainly used to analyzing the result of the silicon content prediction anns and giving blast operators some reasonable operating guidance which can insure the silicon content is in a certain range. in order to make the communication between the operators and software, a slinky and appropriate interface was also developed

    專家系統模塊主要是利用所收集的大量的專家知識對鐵水硅含量預報神經網路的輸出結果進行分析，根據各個參數之間的關系進行計算，並向高爐操作者提出定性的操作指導和定量的操作建議，以確保高爐鐵水硅含量保持在正常范圍。
  7. During this time sam happens to come across a bunch of photos and videotapes belonging to you, in which record sam and anns trip to france. . .

    一日， sam誤打誤撞地發現了夕的秘密另一方面， night因上訴得直，提早出獄，欲再對付sam
  8. As a class of intelligent systems, artificial neural networks ( anns ) are used to simulate human neural networks to handle information

    神經網路是人們模仿人的神經系統信息處理功能的一個智能化系統。
  9. Electrical - controlled appliance includes single slice microcomputef, power supply, keyboard, liquid crystal display. the machine for body functional rehabilitation is controlled by enactment of five parameters, which are speed, range, position, frequency, time. the enactment of the five adjustable parameters used to realize six function that are anns stretching and circumrotating, wrist swing, finger stretching, crura anuckle stretching, anklebone swing

    將肢體運動康復機本身選用的六項功能用以下五個參數的設定來控制，即用速度、幅度、位置、頻率、時間這五個可調參數的控制來實現肢體運動康復機中上肢手臂伸屈、手臂旋轉、腕關節上下左右擺動、手指伸屈、下肢膝關節伸屈、踝關節上下左右擺動六個功能。
  10. W - what do you have in mind ? like three mary anns

    呃…你在想什麼啊？三個瑪麗?安嗎？
  11. That half tabbywhite tortoise - shell in the city anns with the letter em on her forehead. body fifty different colours

    市徽飯店那隻前額上有著m字型花紋的貓，毛皮就是玳瑁色的，夾著白斑紋。
  12. Now, anns have become one of the most fascinating research topics in the field of artificial intelligence

    因此，神經網路技術已成為當前人工智慧領域中最令人感興趣和最富有魅力的研究課題。
  13. The application of artificial neural networks ( anns ) to predict the ultimate bond strengths of cfrp bonded to concrete is investigated

    摘要碳纖維布與混凝土的極限粘結強度問題屬于高度非線性問題，難以建立精確的數學表達式進行分析。
  14. We are experimenting with the evolution of artifical neural networks ( anns ), hence we are combining the two fields of evolutionary computation and artificial neural networks

    我們正在進行人工神經網路（ ann ）的進化理論的實驗，因此將進化計算和人工神經網路兩個領域相接合。
  15. Then the study algorithm is improved to enhance the identification result of the aerodynamic derivatives, and different bp anns are built to identify the static coefficients

    然後改進了學習演算法以識別橋梁模型的氣動導數，並採用了不同的bp網路識別橋梁模型的靜力三分力系數。
  16. The predicting and controlling model of silicon content in hot metal tapped from blast furnace is composed of following components or sub - models : anns prediction model, expert model and interface

    高爐鐵水硅含量預報、控制神經網路、專家系統主要由神經網路模塊、專家系統模塊以及人機介面所組成。
  17. As a result the prototype that was function satisfactory and user friendly, has developed with vb and matlab commercial software. because the numeric calculations are all done by anns, the software is able to transplanted and embedded in different blast furnaces and different software

    利用數據庫中30組數據對系統進行輸入以訓練神經網路，當顯示訓練完畢后，將數據庫中剩餘的27組數據輸入以對神經網路對高爐鐵水硅含量預測結果的命中率進行檢測。
  18. After training, the anns sub - model could be used to forecast, at two - hour interval, the possibility of silicon content in the next two hours and figuring the non - linear mathematic relationship between silicon content and the other parameters as the foundation of the numerical operating guidance

    其中神經網路模塊主要被用於對高爐鐵水硅含量以一定的時間間隔進行預測並對鐵水硅含量及其影響因素間的關系進行學習，以作為專家系統定量化計算的依據。
  19. All these methods are new edge subjects, so researchers apt to investigate the relations between them. each of these three subjects can reflect one aspect of information processes in brain, and the existing anns, such as fuzzy neural networks ( fnn ) and chaotic neural networks ( cnn ), can only behave one or two aspects of those. a new method which is based on fl, ann and chaos is proposed in this paper

    本論文從模糊邏輯、人工神經網路和混沌動力學三方面出發，探索它們之間的相互交叉和融合，在對現有的各類混沌神經網路進行深入研究和改進的基礎上，對三者結合方面即模糊混沌神經網路進行研究，試圖從另一側面更加全面的了解人腦處理信息的過程，從而推動人工智慧科學向前發展。
  20. Not being the prefect models of the human neural networks, anns can be widely used to obtain new knowledge from data. therefore, anns can solve some difficult problems, such as speech / image recognition and comprehension, knowledge processing, combinational optimization, intelligent control

    盡管它還不是大腦的完美無缺的模型，但它可以通過學習來獲取外部的知識並存儲在網路內，可以解決計算機不易處理的難題，特別是語音和圖像識別、理解、知識的處理、組合優化計算和智能控制等一系列本質上非計算的問題。
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