神經角質網 的英文怎麼說

中文拼音 [shénjīngjiǎozhíwǎng]
神經角質網 英文
neurokeratin network
  • 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
  • 角 : 角Ⅰ名詞1 （牛、羊、 鹿等頭上長出的堅硬的東西） horn 2 （古時軍中吹的樂器） bugle; horn 3 （形狀像...
  • 質 : Ⅰ名詞1 （性質; 本質） nature; character; essence 2 （質量） quality 3 （物質） matter; substance;...
  • 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...
  • 神經 : nerve; nervus
  • 角質 : keratin; ceratine; cutin; horn; horny substance角質板 shield; horny lamina; 角質產品 keratose; 角...
  1. The article used a qualitative and quantitative method, and analyzed the interaction principle about knowledge helix and knowledge share in knowledge chain supply, form quantitative and qualitative latitudes, and quantitatively analyzed evolvement disciplinarian about interaction in knowledge supply chain using nn

    摘要本文運用定性和定量相結合的方法，從「質」和「量」兩個角度分析了知識供應鏈中知識螺旋和知識共享的互動原理，並運用神經網路法定量分析了知識供應鏈互動的演化規律。
  2. The dual standard quantity ( the work piece and the discrete standard quantity ) mutual measuring and model verification methods are also proposed, which perfects the whole modifying process from data measuring, error separation, model establishment to real correction. after researching the discrete standard quantity system dynamic error separation technique, two error correction methods based on genetic algorithm and neural network mixed modeling technique are established. the two methods are the discrete standard quantity dynamic error direct / synchronous correction and prediction model correction ; the model ' s parameters and model ' s exercising method are also confirmed

    設計了雙標準量值（工件和離散標準量）互比測量的模型驗證方法，完善了從數據測量、誤差分離、模型建立到實際修正的整個修正過程；研究了離散標準量系統動態誤差分離技術，建立了基於遺傳進化演算法與神經網路混合建模技術的兩種誤差修正方法? ?離散標準量動態誤差直接（同步）修正方法和預報模型修正方法，並確定了模型結構參數和模型訓練方法；分析了預報模型的多次預報性質，並得出了多次預報與多步預報的等效關系，確定了測量系統的有效預報范圍以及模型參數對泛化誤差的影響；進行了模型的對比實驗驗證和被測工件動態誤差修正試驗，成功地實現了任意二面角和圓分度的實時誤差修正。
  3. In this essay, firstly the author analyzes the predictability of time series from china ' s stock exchange using three kinds of methods : arma model, neural network model and non - parametric estimation and gives evaluation on their performances while at the same time puts forward some conclusions deserving attention from both stock exchange supervising department and stock traders. secondly, the author examines the assumptions closely on which the above - said methods base and gives a detailed discussion on them, especially using garch model to test quantitatively the stability of china ' s stock exchange, afterwards drawing the conclusion that it is hard to make accurate prediction of price or return rate of china ' s stocks for none of the assumptions fully holds ground. thirdly, taking account of the difference between chinese stock traders as a whole and that of developed countries, the author gives a thorough analysis on the complexity and volatility of its ( traders " ) reaction to information and points out that the intrinsic heterogeneous and volatile reaction to information is an important reason for the almost unpredictability of the price or return rate in china ' s stock exchange

    本文首先採用arma模型、非參數模型以及神經網路模型對我國股市時間序列進行研究，對三種方法在分析我國股市時間序列的表現進行評價，並得出了一些對監管部門以及股票交易者有借鑒意義的結論；其次作者對三種模型分析我國股市時間序列的前提進行了討論，特別是利用garch模型對我國股市的系統穩定性進行了量化檢驗，得出了前提難以滿足導致準確預測我國股市價格或收益率困難的結論；第三，考慮到中國股市股票交易者群體與發達國家股市股票交易者群體之間的差異，作者借用行為金融學的理論成果對我國股票交易者對信息反應的復雜性和易變性進行了詳細分析，指出股票交易者對信息反應的異質性和易變性是造成難以準確預測我國股市的一個重要原因，考慮到我國股市以散戶為主導的特性將長期存在，因此將行為金融學的研究結論納入對我國股市時間序列的量化研究具有重要的意義；最後，作者從唯理預測與唯象預測之間差異的角度出發，指出了唯象預測的缺點並對我國股市時間序列的研究方向進行了展望。
  4. In this article we examined the distribution and level of grf78 and grp94 in mouse brain during early development to find the relationship between brain development and molecular chaperones ( grf78 and grp94 )

    本文從神經發育的角度研究了內質網分子伴侶grp78 、 grp94與小鼠腦發育的關系，探討了內質網分子伴侶grp78 、 grp94在此過程中的生物學意義。
  5. On account of natural identity complexity of rocks and soils, density, cohesion, friction angle, slope angle, hole pressure ratio in describing physics and mechanics property of rocks and soils are singly uncertain, so the fuzzy optimization neural networks theory is applied to analyzing the landslide stability in order to probe into a new method of slope stability analysis

    由於巖土體自然特性的復雜性，用以描述巖土物理力學性質的容重、內聚力、內摩擦角，坡角，孔隙壓力比等指標本身就不是唯一確定的，因此，本文將模糊優選神經網路理論引入到滑坡穩定性評價中來，以求探討一種邊坡穩定分析的新方法。
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