難辨是非 的英文怎麼說

中文拼音 [nánbānshìfēi]
難辨是非 英文
difficult to discriminate between right and wrong
  • 難 : 難Ⅰ形容詞1 （做起來費事的） difficult; hard; troublesome 2 （不容易; 不大可能） hardly possible 3...
  • 辨 : Ⅰ動詞（辨別; 分辨; 明察） distinguish; discriminate; differentiate; recognize Ⅱ名詞（姓氏） a surname
  • 是 : Ⅰ形容詞1 （對; 正確） correct; right 2 [書面語] （真實的） true Ⅱ代詞1 [書面語] （這; 這個） this...
  • 非 : Ⅰ名詞1 （錯誤） mistake; wrong; errors 2 （指非洲） short for africa 3 （姓氏） a surname Ⅱ動詞1 ...
  • 難辨 : undistinguishable
  • 是非 : 1. （事理的正確與錯誤） right and wrong 2. （口舌） quarrel; dispute
  1. Abstract : in this paper a new identification model constructed by neural networks with modified inputs and stable filters is presented for continuous time nonlinear systems in order to reduce the inherent network approximation errors. an adaptive law with projection algorithm is employed to adjust the parameters of networks. under certain conditions, convergence of the identification error is proved

    文摘:在用神經網路進行系統建模時，建模誤差的存在是難免的.為了減小這種誤差，本文對連續時間非線性系統提出了一種新的神經網路辨識模型，它是由帶有輸入修正的神經網路和穩定濾波器組合而成.文中給出了權值的學習演算法，即權值是根據辨識誤差的投影演算法來改變，證明了在一定條件下辨識誤差的收斂性
  2. Just as a coin has two sides, no side is better than the other ; it is often difficult to distinguish what is right from what is wrong

    正如一個硬幣有兩面一樣，不能說正面就比反面好；通常明辨是非是很難的吧？
  3. The spread of the thought led to people ' s failure to distinguish between truth and falsehood, misunderstanding the principle of national self - determination, the steadiness of state and the peace of the world being threatened

    這一思潮的泛濫，使世界上許多不明事理的人們難辨是非，使國際法上的民族自決原則遭到曲解，進而使一國主權的合法性受到質疑，嚴重威脅國家的穩定與世界的安寧。
  4. There is an abundance of hong kong orchid trees bauhinia blakeana and orchid trees bauhinia on campus. the two are very similar both being caesalpiniaceae and both having heart - shaped leaves

    校園內有很多洋紫荊和羊蹄甲，兩者同屬蘇木科，外形非常相似，葉子都是心形，不開花的話，很難從外貌分辨。
  5. There are lots of non - linear systems in the nature. because classical and morden control methods have common limitation : mathematical model of the plant has to be known in advance. but in fact many plants are intricate uncentaintied and time - varying. in addition, they also are non - linear. though there are methods of system identification in control theories, the identification theories and ways of non - linear and time - varying system are not mature and systematic. it is very difficult to carry out effective real - time control. the neural networks can approximate random non - linear relations and study by itself, and it provides new thoughts and new ways for solving these problems

    由於經典和現代控制方法存在一個共同的局限性：就是要求預先知道被控對象的數學模型，但實際上許多對象具有復雜的不確定性和時變性；此外還具有復雜的非線性。雖然在控制理論中有系統辨識的手段，但是對于非線性時變系統尚無成熟的和系統的辨識理論與方法，要實行有效的實時控制就很難了。人工神經元網路有表示任意非線性關系和自學習等能力，給解決這些問題提供了新思想和新方法。
  6. The honeycomb sandwich structure has been widely utilized in engineering field nowadays. however, due to the complex construction of this structure, it seems not quite easy to describe its dynamic characteristic clearly and completely via conventional methods. the purpose of this thesis is to analyze and identify the dynamic characteristic of honeycomb sandwich structure based on nonlinear methods to stochastic data in frequency domain

    現今鋁蜂窩夾層結構廣泛應用於工程領域，但由於鋁蜂窩夾層結構復雜，使得應用傳統的辨識方法難以對其動力學特性給出清楚和完整的描述，本文的目的就是應用隨機數據的頻域非線性分析與辨識方法對鋁蜂窩夾層結構的動力學特性進行辨識。
  7. The volterra series can described the nonlinear dynamics process integrally, but it is difficult to identify its nonlinear transfer functions

    Volterra級數可以對傳感器動態非線性過程進行整體性描述，但是很難辨識它的非線性傳遞函數。
  8. For the high controlled condition for larger nonlinear system, the identification which the classed method is difficult is important. the paper purposed a new associative memory neural network which can replaced system and ready for the request of control. this paper on the basis of fuzzy neural network technique and optimization it ' s parameter can get ideal output

    對于大滯后非線性系統控製品質要就比較高的場合，模型辨識是至關重要的，針對大滯后非線性系統難以用經典方法辨識的原因，模擬人腦記憶事物的過程，本文提出了一種新型聯想記憶神經網路結構，作為建模工具，以再現被控對象的特徵，為控製做好鋪墊。
  9. Now the subject of modeling and identifying various nonlinear systems has attracted many researchers. however, it is difficult for the classical identification methods based on the linear system or intrinsically linear system theory to provide satisfactory results

    當前，對各種非線性系統的建模、辨識己引起人們的廣泛注意，但是，使用建立在線性或本質線性系統基礎上的傳統辨識方法難以獲得理想結果。
  10. And in addition, the paper explores the aspects of internal fluctuation, which is viewed as the random choices of the cognitive subject, how it is depend on the initial conditions and is enlarged by the method of positive feedback with step by step on the views of the nature, material outlook and thought modes. what ' s more, under the controls of the nonlinear interactions, the paper respectively explores the development principle in the culture of technology and science between the west and the east on the aspect of attractors and the order parameters, which result from the cooperation and competition. finally, the paper correctly formulates the different value preference in accord with the attractors and the order parameters, and focuses respectively on the traditions of the eastern pragmatic preference and the western contemplative preference and technological preference

    在此基礎上，從東西方科技文化的發生和起源入手，從耗散結構的觀點出發，考察了認知主體的隨機性選擇這種文化的內漲落因素，是怎樣依託于各自不同的初始條件?地理氣候條件，在自然觀、物質觀和思想模式方面一步步得到正反饋式的放大;進而，在文化系統內部種種非線性的相互作用下，從競爭和協同所必然產生的序參量和吸引子兩個方面，分別考察了東西方科技文化不同的發展規律，聚焦東方的實用化取向和西方的思辨化、技術化取向的影響機制，從它們在不同時期所發揮的不同作用正面回答了「李約瑟難題」 。
  11. Control systems in modern automatic engineering are nonlinear, time - changed and indefinite. lt is difficult to model by traditional method, even sometime impossible. under these circumstances we should apply model identification to gain the approximate model of object for effective control, there are many models to be chosen, fuzzy model is one of them, it is put forward with the development of fuzzy control. fuzzy model has characteristics of general approximation and strong nonlinear, it is fit for describing complex, nonlinear systems. to avoid rules expansion when the number of input values are very big. in this paper we apply hierarchical fuzzy model to resolve this problem, we also illustrate it has general approximation to any nonlinear systems. genetic algorithm is a algorithm to help find the best parameters of process. lt has abilities of global optimizing and implicit parallel, it can be generally used for all applications. in our paper we use fuzzy model as predictive model and apply ga to identify fuzzy model ( including hierarchical fuzzy model ), we made experiments to nonlinear predictive systems and got very good results. the paper contains chapters as below : chapter 1 preface

    現代控制工程中的系統多表現為非線性、時變和不確定性，採用傳統的建模方法比較困難，或者根本無法實現，在這種情況下，要實現有效的控制，必須採用模型辨識的方法來獲取對象的近似模型，並加以控制，目前用於系統辨識的模型種類很多，模糊模型是其中的一種，它隨著模糊控制的發展而被人提出，模糊模型具有萬能逼近和強非線性的特點，比較適合於描述復雜非線性系統，為了解決模糊模型在輸入變量較多時規則數膨脹的問題，文中引入遞階型模糊模型，並引證這種結構的通用逼近特性。遺傳演算法是模擬自然界生物進化「優勝劣汰」原理的一種參數尋優演算法，它具有隱含并行性和全局最優化的能力，並且對尋優對象的要求比較低，在工程應用和科學研究中，得到了廣泛的應用，本文將遺傳演算法引入模糊模型的辨識，取得了很好的效果。
  12. An example of a background image and a text color that makes the text on the page very difficult to read

    這個案例中的背景圖象和文本顏色是非常難于辨認讀取的。
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