神經元網路 的英文怎麼說

中文拼音 [shénjīngyuánwǎng]
神經元網路 英文
neural network, nn
  • : Ⅰ名詞1 (神靈) god; deity; divinity 2 (精神; 精力) spirit; mind 3 (神氣; 神情) expression; l...
  • : 經動詞[紡織] (把紡好的紗或線梳整成經紗或經線) warp
  • : Ⅰ名詞1 (捕魚捉鳥的器具) net 2 (像網的東西) thing which looks like a net 3 (像網一樣的組織或...
  • : 1 (道路) road; way; path 2 (路程) journey; distance 3 (途徑; 門路) way; means 4 (條理) se...
  • 神經 : nerve; nervus
  • 網路 : 1. [電學] network; electric network2. (網) meshwork; system; graph (指一維復形); mesh
  1. Both input and output of the networks are cither procedures or functions. procedure - type ' s inputs to networks relax synchronization instantaneous limit on inputs in the traditional neural network models

    過程式輸入放寬了傳統神經元網路模型對輸入的同步瞬時限制,是傳統神經元網路在時間域上的擴展,是更一般化的人工神經元網路模型。
  2. The neural network inferential control strategy for distillation column

    精餾塔神經元網路推斷控制
  3. Control system malfunction diagnosis research with neurone network

    神經元網路進行控制系統故障診斷的研究
  4. On the basis of practice and checkout of stylebook, the feasibility of evaluating the highway bridge ' s carrying capacity based on bp neural network is proved

    通過樣本的訓練和檢驗,驗證了利用bp神經元網路理論進行橋梁承載力評估的可行性。
  5. First we introduce its basic idea, typical activating functions, learning rules and its main application : classification & c1ustering, associated memory and optimiza tion

    我們先簡要介紹了人工神經元網路的基本思想,典型激活函數,學習規則和主要應用:分類聚類,聯想記憶和優化。
  6. To the level control problem of a spherical tank, two model - free control methods are proposed. in the former method, the takagi - sugeno fuzzy model is used to tune the neuron controller gain. in the latter method, the model - free control method using the neural network model proposed for nonlinear plants is presented

    針對具有非線性特性的球形容器液位受控對象,從增益自調整和非線性補償兩個角度,分別提出了兩種非模型控制方法,前者採用t - s模糊模型對控制器的增益進行在線整定,後者使用本文建立的非線性神經元網路對球形容器進行非模型控制。
  7. A survey of the development of neural networks, the neuro - control systems and fuzzy control system is summarized

    綜述了神經元網路控制的發展與狀況、模糊控制的研究狀況; 2
  8. It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use

    本文採用了基於技術的智能pid控制策略,設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法;為解決結構不確定性的復雜多變量系統的控制,基於模糊集及模糊系統、理論,建立了多變量系統的模糊控制模型及模糊控制模型;針對揚州水箱廠計算機集成製造系統車間管理與控制系統( ys - cims sfcs )中的實際工程問題,設計和開發了散熱器芯子烘焊自動線主烘腔溫度模糊控制器,解決了生產中長期存在的老大難問題,提高了產品質量,降低了單產能耗。
  9. Associative memory and segmentation in the network composed of spiking neurons

    脈動型神經元網路的聯想記憶與分割
  10. To solve these problems respectively, the color space transformation and bp neural network are firstly used to realize the classification and threshold processing of images. then the images processing including thinning, interval linking, code word chaining, seed filling, boundary fitting is performed well by some methods in mathematical morphology and computer graphics and interpolation in numerical value analysis

    為了逐一解決這些困難,運用了色彩空間變換以及bp神經元網路的方法對圖像進行分類和閾值處理,利用數學形態學和計算機圖形學以及數值分析中的插值等方法對圖像進行了細化、間隙連接、鏈碼、種子填充、邊界擬合等處理。
  11. Furthermore intelligent shift control thinking and method are introduced detailed, and the intelligence control of fuzzy neural network is led to construct the model of the speed control of engine, the model of decision of shift, the model of clutch joint velocity and the model of the whole amt gearshift, simulation is carried out

    詳細地描述了智能換檔控制的思和方法,引入模糊神經元網路智能控制技術,構造發動機轉速控制模型、檔位決策模型、離合器接合速度控制模型及amt換檔系統模型,並進行模擬模擬。
  12. Regardless using nerve net, ica or me method, it is difficult to separate the mixed ds / cdma signal in low snr condition

    而不管是神經元網路法, ica法還是最大熵法一般情況下都難以在低信噪比情況下正確分離出混合的ds / cdma信號。
  13. We then present our mathematicaj model of nest building using randomlyconnected neural network

    然後提出我們用隨機連接的神經元網路描述的昆蟲築巢的數學模型。
  14. The application of neural network in forecasting the efficiency of utilizing energy

    人工神經元網路在能源利用效率預測中的應用
  15. In the paper, viscoelastic theory and ann ( artificial neural network ) are applied to estimate ds and draw the curve of deformation

    本文將粘彈性理論和人工神經元網路應用於車轍試驗動穩定度的預估。
  16. 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。
  17. The paper forms the three information measures into measure vector as the input of cmac - cerebellar model articulation controller neural network and proposes a method of edge detection based on information measures and cmac. the edge contours generated by this method is very legible. the method has a high runtime performance and improves the resistance to noise

    本文將圖像的三個信息測度作為分量組成邊緣特徵的測度向量,作為小腦模型神經元網路? cmac的輸入,提出一種基於信息測度和cmac的邊緣檢測方法,用該法得到的邊緣輪廓清晰,實時性好,並且抗噪能力有明顯提高:將上述邊緣檢測方法應用於無人值守變電站,提出一種瓷瓶裂紋故障監控方案。
  18. And it would be applied to other blast furnaces after some modifications. to improve the quality of the model, some methods should be used in future : l. impoving the database and making it have more information. 2. considering the mass and thermal accumulation and calculating the effect of the data of every period

    2 、模型在作動態計算時,使用日平均數據來調整參數,而用即時的數據來計算預測值,這種方法盡管有一定的科學性,但要提高模型的準確性,必須考慮到高爐內物料和熱量的積累,考慮各個時段入爐物料對化學平衡和熱平衡的影響,根據專家系統和神經元網路的方法,得到更為完善的模型。
  19. To be concrete, the principle of the system is just like this. whether breakout occurs or not is judged by expert system using two kinds of knowledge : neural network and knowledge base

    具體來說,本系統的原理就是將神經元網路的輸出和知識庫的知識輸入到專家系統中來,由專家系統來進行綜合評判,判斷是否會發生漏鋼事故。
  20. In this paper, the control system of industrial boiler widely used in industrial production was studied. aiming at the nonlinear object of industrial boiler with instability parameter and difficult building math model, combining fuzzy control theory and neural networks theory, a adaptive controller built with compensatory fuzzy neural networks to control industrial boiler is proposed

    本文對于目前在工業生產中廣泛應用的工業鍋爐的控制系統進行了研究,針對工業鍋爐這種具有非線性、參數不穩定、難以建立精確的數學模型的控制對象,結合模糊控制理論和人工神經元網路理論,提出用補償模糊構造自適應控制器實現對工業鍋爐的過程式控制制。
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