神經行為量表 的英文怎麼說

中文拼音 [shénjīnghángwéiliángbiǎo]
神經行為量表 英文
neurobehavioral scale
  • 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
  • 行 : 行Ⅰ名詞1 （行列） line; row 2 （排行） seniority among brothers and sisters:你行幾? 我行三。where...
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 表 : Ⅰ名詞1 （外面;外表） outside; surface; external 2 （中表親戚） the relationship between the child...
  • 神經 : nerve; nervus
  • 行為 : action; behaviour; conduct; deed
  • 量表 : scale量表程序 scalogram
  1. Human bone morphogenetic protein 3 is a member of tgf - b superfamily. lt can induce the differentiation of cartilage and bone tissue in mesenchymal cell. and is important to bone self - repairment and bone development during embryo morphogenesis. in addition, some other biological activities of hbmp - 3 have also been found. such as inducing development of embryo and stimulating differentiation of neural and blood cells. therefore, there is a great prospect in the use of hbmp - 3. there is trace content of hbmp - 3 in human body. it has been expressed in the expression system of eukaryotes and prokaryotes respectively, but its application is restricted because of defects in the process and modification after translation in prokaryotic cells and higher costs and lower yields existed in eukaryotic expression system

    人骨形成蛋白3 （ hbmp - 3 ）屬于tgf -超家族的一員，可以誘導間充質細胞分化為軟骨和骨，在胚胎時期骨骼發育和骨再生修復中起著重要的作用，而且對胚胎發育過程中中胚層的誘導和分化、造血組織的發育以及神經系統的發育和修復等都起著重要作用，因而hbmp - 3有廣闊的市場前景。它在人體內含量極微，盡管研究人員已經在原核細胞和真核細胞表達系統中分別進行了表達，但是由於原核表達系統缺乏翻譯后的加工修飾，真核表達系統存在成本高、產量低等特點，限制了其在臨床上的應用。
  2. On the basis of the study of the theory and appraise method on land use in the small towns from home and abroad, this paper at first conducts a deep study on the development and role of the small towns, indicating that its development has sawn an uneven development phrase and becomes a carrier of the enterprises, a pool of surplus laborers, a hub of material exchanges between the rural and urban areas, a base of spiritual civilization, an important way to achieve urbanization. second, it conducts a study on the situation and features and the problems the land use, indicating that the efficiency of the land use is low, which has a direct influence on the development of agriculture and the role of the small towns. and the study of the demand of the land indicates the shortage of land is serious, and the small town must rationally use the land and increases its intensive role and the economical efficiency to meet the demand

    在分析國內外已有關于小城鎮土地利用的理論與評價方法的基礎上，首先對小城鎮在我國的發展、地位和作用進行了深入的分析，判明我國小城鎮發展經歷了一個曲折向上的發展階段，已成為鄉鎮企業的載體，農村剩餘勞動力的蓄水池，城鄉物資交流的樞紐，農村精神文明的基地，是我國城市化的重要途徑；其次，對小城鎮土地資源利用現狀和特徵進行了探討，並對發展小城鎮建設導致的土地利用問題進行了剖析，表明目前我國大多數小城鎮土地效益和規模效益低下，佔用耕地過多，直接影響農業的發展，影響小城鎮的地位和作用；通過小城鎮土地供需分析研究表明，我國土地短缺十分嚴峻，小城鎮土地需求缺口較大，小城鎮必須合理利用現有土地，增強集約功能和土地經濟效益，從而緩解需求壓力；最後，論文通過運用特爾菲法，描述統計分析法、多元統計分析（主成分分析）法和系統分析法中的層次分析法（ ahp ）等一系列方法，結合定性和定量兩方面，從土地質量、土地資源數量與結構、土地經濟效益、環境效益、社會效益等五個方面進行分析，篩選、建立了土地資源利用評價指標體系，在因子評價的基礎上，建立了土地利用綜合評價模型，並給出了評價過程和方法。
  3. Thereafter, the fractal dimension value of cracks distribution was presented as an effective index to appraise the corrosion level. relations between fractal dimension and rebar corrosion ratio, concrete deterioration factor and strength of the member were studied respectively. fractal nn model was also built up to predict the ultimate load bearing capacity of crc members obtained from the field corroded structures, good results are achieved, which could provide an applicable method to evaluate the durability of crc members

    揭示出受腐蝕鋼筋混凝土構件在荷載作用下表面裂縫分佈服從統計意義上的分形，並對其進行了分形描述；提出以裂縫分形維數作為受腐蝕程度的有效衡量指標，首次實現了構件受腐蝕程度的定量描述；建立了裂縫分形維數與鋼筋銹蝕率、混凝土劣化系數、構件承載力之間的定量關系，並建立了分形神經網路模型對實際受腐蝕鋼筋混凝土構件進行了極限承載力的預測，取得了較好的預測效果。
  4. Abstract : in this paper, neural networks is used to optimize the lines of transport ships w hich conforms to two parts graph maximum weight matching. the simulating result c onforms to reality, which shows that the method can provide quantitative basis fo r the shipping companys, and that it is also feasible for solving other transport optimum managing problems

    文摘:運用神經網路優化演算法，對一種符合二部圖最大權匹配的船舶運輸線路進行了優化計算，模擬計算表明其結果是正確的，為船務公司的生產決策提供了定量依據.此演算法表明，基於神經網路的優化方法對于航運管理優化問題是可行的
  5. The fault samples with the signal of zero or one and the model of bp neural network are established, in accordance with nine faults of pulverizing system for chongqing power plant. during the course of the samples compilation, produce rule 、 neural network representation etc are synthesized to organize and express the fault sample of pulverizing system. before being putted into the database, the sample data is disposed to ensure sample data integrity and no redundancy

    本文針對重慶發電廠制粉系統九種故障建立了以0 、 1為徵兆量的故障樣本和相應的bp神經網路模型，且在制粉系統故障及其相關故障樣本編輯過程中，應用了神經網路產生規則式、框架式等知識表達方法，有效的表達制粉系統故障及其相關故障診斷知識，並且為保證數據的完整性，減少數據冗餘，對數據庫進行了規范化處理，簡化了數據結構和避免了數據沖突。
  6. 2 artificial neural network, which is one of services provided from the matlab platform, is applied to simulate the relationship between input and output in the system in order to recognize the system so that the performance function can be transformed into the random variable from the force

    在matlab平臺上利用人工神經網路來模擬系統的輸入與輸出關系，對系統進行識別，從而使大壩功能函數由對應于的應力表達直接轉化為外界隨機變量來表達。
  7. On the basis of summarizing the common principle and method of selection of system structure and setting function and means of implementation, we research mainly on such subjects as follows : firstly, we studied the implementation of text extraction and digital signature by cad secondary development technology combine with database technique. secondly, based on method for pre - processing scanning images of drawings, finally, the application of artificial neural network in engineering drawing sign character recognition was researched. in this thesis, we presented the building model and implementation method has some references to the designing work of similar system

    在論述系統結構選取、功能構建以及實現技術的一般原理和方法的基礎上，進行了以下幾個方面的研究：首先研究了cad二次開發技術同數據庫技術相結合實現系統圖紙文本信息西安理工大學碩士學位論文提取和電子會簽功能，然後研究了掃描圖紙的圖像處理技術，為圖紙的矢量化和智能識別提供圖形表達準確、圖形要素和字元要素分離的數據源，最後研究了人} _神經網路技術在} _程圖紙標識字元識別中的應用。
  8. According to the requirements to pd pattern auto - recognition, this paper studies systematically the basic theories and realizable methods for auto - recognition of pd gray intensity image : ( 1 ) in the requirement of on - line pd monitoring for transformer, several discharge models are designed and the relevant experiment methods projected. with discharge model tests, a lot of discharge sample data is acquired. on the base of systematical research on recognition for pd gray intensity image, this paper puts forward two kinds of fractal features, the 2nd generalized dimensions of original pd images and fractal dimensions of high gray intensity pd images, and then the relevant extraction methods

    針對局部放電模式自動識別的需要，作者系統地研究了局部放電灰度圖像自動識別中的基本理論和實現方法： （ 1 ）根據變壓器局部放電在線監測的要求，設計了放電模型和實驗方法，並通過模型實驗獲得了大量放電樣本數據，為構造局部放電灰度圖像和採用bpnn進行識別作好準備； （ 2 ）研究了局部放電灰度圖像的構造方法以及降維構造32 32灰度和矩陣的方法；在用人工神經網路對局部放電進行模式識別時，分析了bp網路的優缺點，對典型bp網路的結構和學習訓練演算法提出了改進，採用帶有偏差單元的遞歸神經網路作為模式分類器；採用32 32灰度和矩陣進行bpnn識別結果表明這種方法是有效的。
  9. Taking in - situ toughened silicon nitride as a design object, principle component analysis ( pca ) is applied to study the microstructure and mechanical properties, to find out the main microstructure controlling factors, and to simplify the characterization variables and criterions ; fuzzy neural networks ( fnns ) is also applied to develop a design expert system for this material, which can realize the forward prediction from processing, microstructure to mechanical properties, and backward design from mechanical properties or microstructure to processing ; monte - carlo method is applied to simulate the grain growth of this material, and then crack propagation is simulated, which is another way based on physics and chemistry to developing prediction models from processing until to mechanical properties

    本文以自增韌氮化硅陶瓷為設計對象，運用主成分分析法（ principlecomponentanalysis ： pca ）對自增韌si _ 3n _ 4陶瓷的顯微結構和力學性能進行數據空間降維，獲得自增韌si _ 3n _ 4陶瓷顯微結構控制的主要因素，進而簡化了表徵參量變量和準則；運用模糊神經網路（ fuzzyneuralnetworks ： fnn ）建立了自增韌si _ 3n _ 4陶瓷設計專家系統，能實現工藝?微結構?性能的正向預測及反向設計；運用monte - carlo方法（ mc ）進行自增韌si _ 3n _ 4陶瓷的晶體生長模擬，然後進行裂紋擴展模擬，探索建立工藝?微結構?力學性能預測模型的思路。
  10. The data manage module the module includes the manage of measured parameter, such as, data appended, deleted and combined query. 2. kbs ( knowledge base system ) module the module includes the manage of produced rule, for example the rule added, deleted, logic checked and corresponding reason added, deleted, edited

    本混合型專家系統基於windows平臺，選用visualc + +作為開發工具， microsoftsqlserver7 . 0作為數據庫平臺，利用產生式規則和徑向基神經網路rbf演算法進行分類和推理，系統可分為四大模塊： （ 1 ）數據管理模塊數據管理模塊主要包括設備測量參數數據錄入、刪除查詢報表等功能。
  11. The third chapter employed a new method of taking pressure as step to simulate refrigerant flow characteristics in adiabatic capillary tubes, based on adiabatic capillary tube mathematic models. refrigerant critical flux in capillary tubes is predicted by means of back - propagated method. it indicates that this method can save computational time, so it can be used in engineering

    在建立絕熱毛細管數學模型基礎上，採用以壓力為步長的新方法對絕熱毛細管進行了模擬計算，採用bp神經網路對製冷劑在毛細管中臨界流量進行了預測，結果表明該方法能夠較大幅度地節省計算時間，因而具有工程應用價值。
  12. For power control of listening users, forward power control method are introduced based on full, multichannel, filtered report, and collision method etc. the full report method has redundancy report information, and its real - time performance is bad, multichannel report is introduced to improve the real - time performance, and filtered report is introduced to eliminate the redundancy information, finally the collision method introduced can not only get higher real - time performance but also diminish the redundancy information ; 2. in order to meet the requirements of making the dynamic simulation of trunking group system, the ms ’ s random move equation is brought forward, the simulation of ms ’ s distribution is done and the integrated channel model are presented ; 3. the smart predicative model of power control is introduced to overcome the delay and track the change of the complicated network, with this model, the power control ‘ s performance is greatly improved

    全匯報方法存在冗餘的匯報信息，而且實時性較差，為了改善實時性提出了多通道的匯報方式，為了改善冗餘匯報而提出了篩選法，最後介紹的碰撞法在減少冗餘信息的同時又提高了實時性;二、為了集群功率控制動態模擬的需要，提出了移動臺的隨機運動方程，進行了有關移動臺的分佈模擬，建立了綜合的通道模型;三、希望克服延時和跟蹤復雜網路環境變化，提出了功率控制的智能預測模型，通過智能預測模型可以改善功率控制的性能，著重介紹了採用神經網路的方法實現智能預測的通用模型，從而跟蹤復雜多變的無線環境，諸如慢衰落及快衰落（包括多徑衰落、多普勒效應所引起的衰落）等網路特徵，達到預測功率需求;四、採用二級正交碼和智能天線（空分多址）的方法進行組內用戶的識別，改進功率控制效果;五、話權用戶的前向和反向功率控制方法;六、對引入gota的cdma系統提出了復合容量表示方法，並作容量分析，探討有關gota系統的qos問題。
  13. 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。
  14. Besides these factors, mere are other factors who can put impression on project investment, such as policy nature disaster, and so on. in order to supply a reasonable theoretical method for construction project investment, it ' s meaningful to study the risks and control model. in this paper, firstly, the writer discusses the measurement guideline and the mam factors during the different project period ; secondly, by studying investment deviation, the writer builds a mathematic model ( neutral networks analytic hierarchy process model ) to control investment risk, at the same time, proves its accuracy by a realistic project ; finally, according to the writer ' s work experience, some common problems during the project are presented

    本文首先探討了建設項目投資控制的衡量指標，並就不同建設階段投資控制的主要因素進行了論述；其次對投資風險進行了研究和分類，提出建設項目需要進行風險識辨和風險偏差分析，通過對偏差類型和偏差原因的探討，以模糊數學神經網路理論中的層次分析法為基礎，建立了投資風險控制預測模型，並根據工程實例對建立的投資風險控制模型進行了驗證，分析表明該控制模型可以用於實際建設項目投資風險的分析控制；最後根據作者房地產項目開發投資控制實踐操作經驗，對投資控制中容易出現的一些問題進行了探討。
  15. Based on the summary of previous evaluation methods, this paper points out the shortcomings of them, then draw the theory of artificial neural network into risk evaluation, through an example of some kind of investment project and the training and examination of a group investigation sample, it sets up the artificial neural network model. at last, this model is applied to the real case of an engineering project to evaluate its risk level and satisfactory result is made ; in the fifth chapter of this paper, the main risk factors that affect the economic appraisal of the engineering investment project are described through the form of relationship chart. then it is proved by way of deduction of formula that the risky influence that is brought by inflation must be considered in the engineering investment project

    本文在對以往評價方法進行歸納總結的基礎上，指出其中存在的不足之處，將人工神經網路理論引入到風險評價中，以某一類投資項目為例，通過對一組調查樣本的訓練和檢測，建立了工程投資項目風險評價的人工神經網路模型，並通過實例對模型進行了驗證，取得了滿意結果；在本文第五部分，對影響工程投資項目經濟評價的主要風險因素以關系圖的形式進行了描述，然後通過公式推導證明了在工程投資項目中應該考慮通貨膨脹帶來的風險影響，接著在分析以往建立的經濟評價凈現金流量表達式存在不足的基礎上提出了另外一種方式的表達式，即凈現值解析模型，對該模型的求解進行了詳細的說明，並分析了如何恰當的選擇各風險變量的概率分佈，最後在考慮投資者風險偏好的前提下，提出了工程投資項目新的風險度量模型。
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