生物神經網路 的英文怎麼說

中文拼音 [shēngwùshénjīngwǎnglù]
生物神經網路 英文
bnn
  • 生 : Ⅰ動詞1 （生育; 生殖） give birth to; bear 2 （出生） be born 3 （生長） grow 4 （生存; 活） live;...
  • 物 : 名詞1 （東西） thing; matter; object 2 （指自己以外的人或與己相對的環境） other people; the outsi...
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 網 : 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...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 生物 : living things; living beings; organisms; bios （pl bioi bioses）; biont; thing; life生物材料 biol...
  • 神經 : nerve; nervus
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. Based on this, through a lot of yeast, e - polylysine ferment experiments and analyzing the data, comprehend the universality rule of animalcule ferment ; advanced soft - measure model, estimate the parameter non - measurable online, including the parse model based main - regression analyze, the ann model based ann arithmetic. guide the fed - batch control and environment parameter by the optimized track. to advance the last gain, identify the fermentation phase

    在此基礎上，經多次酵母發酵實驗、聚賴氨酸發酵實驗及對大量實驗數據的分析，深入了解了微生物發酵的一般性規律；建立了微生物發酵過程的軟測量模型，對不可在線測量的生物參數進行估計，包括由主元回歸分析得到的解析式模型，由神經網路演算法得到的神經網路模型。
  2. Thirdly, resorting to cooperation - competition model of biomathematics, this thesis proposes a new co - evolution model. simulation results are shown to verify its effect and practicabilitv. last, standard methods for optimizing neural netvvorks are easily trapped into local optimization, and unable to adjust the structure of neural networks, thus their application is limited to certain extent

    本文主要驗證和設計適應性操作運算元和小生境方法保持群體多樣性的能力，實驗表明兩種方法都能較好地達到目的；利用生物合作競爭模型設計協同演化來動態地改變群體規模，實驗表明該模型是有效的；人工神經網路是得到越來越廣泛應用的學習系統，但是由於學習演算法存在一定的缺陷，如易於陷入局部極值，難以調整網路的結構等，使神經網路的應用受到一定的限制。
  3. In the same time the output torque can also be measured and controlled rapidly and accurately. due to the complex nonlinear relation between the applied electrical field and the torque, it ' s difficult to set up the model using existing physic and mathematic theories. however, artificial neural network can express discretional nonlinear relation and has ability of study, which provides a new concept and method to solve this problem

    由於波紋式電流變傳動機構的外加電場和電流變液產生的力矩間呈復雜的非線性關系，用現有的物理和數學理論來建模尚有一定的難度，而人工神經網路有表示任意非線性關系和學習的能力，給解決這類問題提供了新思想和新方法。
  4. On the basis of essential nonlinear characteristics in municipal wastewater biology treatment process, control strategy of fuzzy self - revised method based on neutral network is adopted and some different degree of membership functions which will influence on control error are compared in order to improve control prevision

    摘要針對城市污水生物處理過程存在的本質的非線性特性，採用了基於神經網路的模糊自校正方法的控制策略，同時為了提高控制的精度，比較了各種不同的隸屬度函數對控制誤差的影響。
  5. Based on the analysis of the characteristics of the raw mix slurry preparing process in alumina sintering production process, firstly, a mechanism model based on material balance principle was established as the master - rule model for the quality prediction ; secondly, considering the problem that the alkali liquor composition was unstable and its real - time measurement was difficult, a nn ( neural networks ) prediction model for the prediction of the alkali liquor composition was set up and nesting - integrated with the mechanism model ; finally, using the gray theory for the information mining from the errors of the mechanism model, a gm ( 1, 1 ) compensation model was put forward and parallel - connection - integrated with the mechanism model, achieving a raw mix slurry quality prediction model

    摘要針對燒結法氧化鋁生產過程中生料漿配料工藝的特點，根據物料平衡的原理建立機理模型，作為生料漿質量預測的主規律模型；針對堿液成分波動大且難以實時檢測的問題，對堿液成分含量建立了神經網路預測模型，並和機理模型進行嵌套集成；利用灰色理論對機理模型的偏差數據進行信息挖掘，建立了gm （ 1 ， 1 ）補償模型，並與機理模型進行並聯集成，獲得生料漿質量預測模型。
  6. With the corrected parameter files, the results indicate that the isotopic abundance in the sample can be determined within 2 % error using a hpge detector system. artificial neural networks ( ann ) are a class of models based on neural computation and have been applied to the measurement of uranium enrichment. the principles of ann methods used in uranium measurement are presented in this paper and the conditions of analysis proceedings are described

    在核保障核查測量中和實物監測中，測量對象往往是規格確定並種類有限的元件或部件，只需要關心測量對象的屬性是否發生了變化，或者對同一種類的放射性樣品的一致性做出判斷，這種要求下使用神經網路方法是比較適宜的，並且神經網路方法是與探測器和探測效率無關的。
  7. It resulted in that it is valuable to estimate the hand of silk textile with artificial neural network. there was influence to the hand of silk textile when automatic reeled raw silk was used as warp, and there was almost no influence to the hand of silk textile when automatic reeled raw silk was used as weft

    同時對不同生絲原料對織物風格影響進行了研究，認為採用人工神經網路進行織物風格評價是很有價值的，用自動繅生絲作經絲對織物風格有一定影響，用自動繅生絲作緯絲對織物風格幾乎沒有影響。
  8. Comparison show the swap 2. 0 is an attractive and effective tool to obtain evapotranspiration for the study of relationship between crop yield and water use. a model of crop response to water based on bp neural network for spring wheat was developed using deficit irrigation experiment data

    本文依據人工神經網路的基本原理在充分吸收其最新理論研究成果的基礎上，以非充分灌溉試驗得到的實測春小麥產量和各生育階段水分資料為樣本建立了基於bp神經網路的春小麥作物水分響應模型。
  9. Reviews and analyses have been done aiming at the three main branches of intelligent control of fuzzy logic control, neural neuwork control and expert control system

    對智能控制的3大主要分支模糊邏輯控制、神經網路控制及專家控制系統在污水生物處理中應用的最新動態進行了評論和分析。
  10. Evolutionary computation, neural computation and dna molecular biology technique are respectively corresponding to three different levels which are organism, nerve cell and molecular in the process of simulating brainpower. so we can see that the last method that base on simulating and studying on dna of biology is more probably to show up the essence of formation of brainpower

    從遺傳進化、人工神經網路和dna分子生物技術對智能的模擬過程看，它們分別對應生物群體、生物神經元和生物分子三個截然不同的層次，由此可以看到，基於對分子生物dna的模擬和研究將有可能更深刻地揭示智能形成的本質。
  11. Domain knowledge in biology was used to distinguish effective ncrna features that can be relied on for data mining on this specific purpose

    論文運用生物學知識提取了相關特徵並用於主成分分析和神經網路的訓練中。
  12. Based on the clonal selection theory and immune memory mechanism in the natural immune system, a novel artificial immune system algorithm, clonal strategy algorithm based on the immune memory csaim is proposed in this paper. the algorithm realizes the evolution of antibody population and the evolution of memory unit at the same time, and by using clonal selection operator, the global optimal computation can be combined with the local searching

    人工免疫系統ais是一新的模擬自然免疫系統的計算智能方法，它受生物免疫機制的啟發，通過學習外界物質的自然防禦機理，提供噪聲忍耐自組織自學習記憶等進化學習機制，結合了分類器神經網路和機器推理等的特點，因此具有提供解決問題新穎方法的潛力。
  13. That is the identification of material parameter is done through the true deformation increment in the loading stage before, loading increment, and the stress state by artificial neural networks, after this, we can get loading increment for the next deformation stage by the artificial neural networks trained by stress stage, target deformation increment and the identified m value

    即首先根據上一步加載材料的實際應變增量、所加應力增量以及材料所在的應力狀態識別出材料物性參數m值，然後再根據材料加載后的應力狀態、目標應變增量以及識別所得m值，由訓練好的識別應力增量的人工神經網路產生應加的載荷增量。
  14. Artificial neural network ( ann ) is a approximate simulation of biologic nerve system, which is a network model with a special algorithm got from biologic prototype after abstractly research

    人工神經網路是對生物神經系統的近似模擬，是把生物原型通過理論研究抽象成為具有某種特定演算法的網路模型。
  15. This is a demo of an articial neural network. artificial neural networks are computational paradigms which implement simplified models of their biological counterparts, biological neural networks

    這是人工神經網路的一個演示程序。人工神經網路是計算的範例，它實現了它的生物學配對物，生物學神經網路的單一模型。
  16. Thus, we have deeply studied the applications of stochastic theory in protein motor and fhn neuron model, and obtained some important results, especially the opposing role of the amplitude and correlation strength in protein transport, the locked phenomenon in fhn neuron model, the dependence of the effect on initial condition, the phase transition and resonance in globally coupled neuron system

    為此，我們對隨機理論在生物馬達蛋白和fhn神經模型上的應用進行了較深入的研究，取得了一些有重要意義的成果，特別是發現：漲落勢的幅值和關聯強度對蛋白輸運起著相反的作用；噪聲誘導fhn神經電位的鎖定現象；噪聲關聯導致雙穩系統對初始狀態的記憶功能；噪聲作用下全局耦合fhn神經網路的共振和相變現象。
  17. A predication model of biological effects of millimetrewave irradiation using artificial neural network

    利用人工神經網路預測毫米波的生物效應
  18. First, features of ncrna were summed up to serve as input for data mining procedures later on. second, statistics toolbox and artificial neural networks toolbox of matlab were used to carry out principal components analysis and artificial neural network training. finally, user prediction was designed in visual c + + while matcom served as interface between matlab and vc to complete the user prediction program

    首先利用生物學實驗數據總結出ncrna的特徵，作為數據挖掘方法的輸入；然後在matlab環境下用統計工具箱和神經網路工具箱對輸入的特徵進行主成分分析和神經網路訓練，用訓練好的網路去預測ncrna ；最後，為了實現通用性，運用matcom介面與vc實現windows下供用戶實際使用的預測程序。
  19. Artificial neural networks are an experience models, they emulate some functions of biological neural network

    人工神經網路（ artificialneuralnetwork ， ann ）是模仿生物神經網路功能的一種經驗模型。
  20. Ann ( artificial nerve network ) is the simulation of biologic nerve system. ann is a kind of network, in which a quantity of calculation cells ( nerve cells ) joint each other. although ann ca n ' t really reflect man ' s cerebral function, it is able to be an abstraction, simplification and simulation of the biologic nerve system, and it occupies a dominant position in economic prediction field

    人工神經網路是人們對生物神經系統的模擬，是由大量的處理單元（神經元）互相連接而成的網路，人工神經網路雖然並沒有完全真實地反映大腦的功能，但它能夠對生物神經網路進行某種抽象、簡化和模擬，在經濟系統預測方面具有較大的優勢。
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