神經行為結果 的英文怎麼說

中文拼音 [shénjīnghángwéijiēguǒ]
神經行為結果 英文
neurobehavioral outcome
  • 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...
  • 結 : 結動詞（長出果實或種子） bear （fruit）; form （seed）
  • 果 : Ⅰ名詞1 （果子） fruit 2 （事情的結局; 結果） result ; consequence 3 （姓氏） a surname Ⅱ動詞（吃...
  • 神經 : nerve; nervus
  • 行為 : action; behaviour; conduct; deed
  • 結果 : 結果bear fruit; fruit
  1. Starting with the astronomic factors which induce the tide phenomenon, this paper introduces a method of nonharmonic analysis neural network to predict tide, and this method is used to calculate the real tide of 2002 at hongkong tide station and the result are compared to the observed data

    摘要文章運用非調和法，直接從引起潮汐現象的天文因素入手，以2002年香港驗潮站實測資料為例，用神經網路對潮汐知識進行了學習模擬，對未知結果進行了預報。
  2. It is generally impossible to obtain the analytic optimal guidance law for complex nonlinear guidance systems of homing missiles, and the open loop optimal guidance law is often obtained by numerical methods, which can not be used directly in practice. the neural networks are trained off - line using the optimal trajectory of the missile produced by the numerical open loop optimal guidance law, and then, the converged neural networks are used on - line as the feedback optimal guidance law in real - time. the research shows that different selections of the neural networks inputs, such as the system state variables or the rate of los ( line of sight ), may have great effect on the performances of the guidance systems for homing missiles. the robustness for several guidance laws is investigated by simulations, and the modular neural networks architectures are used to increase the approximating and generalizing abilities in the large state space. some useful conclusions are obtained by simulation results

    對于復雜的非線性導彈制導系統，很難求得其解析的最優制導律，只能求得開環的數字解，不能適用於具有時變不確定性的導彈制導系統.利用神經網路的學習和推廣能力，對開環的數字最優制導律進行離線的學習，作為閉環的神經最優制導律在線應用.研究分別選擇系統狀態變量和視線角速率等不同的神經網路輸入對制導系統性能的影響，以及各種制導律的魯棒性問題，並採用模塊化神經網路結構提高神經網路的學習和推廣能力，模擬結果得到一些有益的結論
  3. Because color isochromatic fringes appear in the stress model based on a plane polariscope in white light, we studied the problems systematically by a digital camera as image inputting device, digital image processing technique and bp artificial neural network. based on the work that has been reported before, a technique named five - step color phase shifting technique ( fcpst ) to acquire single isoclinics is presented

    根據白光入射時應力模型在偏振儀光學系統中的等色線條紋是彩色的特點，本論文採用彩色數碼相機作為數據採集與輸入設備，結合彩色信息圖像處理和bp神經網路等新技術，對上述兩個難題進行了系統的研究，獲得以下成果：在綜合前人工作的基礎上，提出獲得全場單純的等傾角相圖的五步彩色相移法。
  4. Psittacula agapornis ), oscine passenon ( emberiza rutila ) and the vocalizations of sub - oscine passerine ( melopsittacus undulates, psittacula agapornis ) after sectioning nxiits were recorded by sharp gf - 6060 recorder. cooledit2000, an acoustic analyzing software, was used to produce the original wave and it ' s expanded time windows, sonograms, spectrums and power static histograms. to distinguish the acoustic differences of their natural vocal and to find the changes of sub - oscine passerine ' s song after sectioning nxiits, the above results is acoustically analyzed and compared, expecting to provide some advantage to further explaining the mechanism of vocal production

    本實驗以非鳴禽（家鴿、家雞） ，亞鳴禽（虎皮鸚鵡、牡丹鸚鵡）以及鳴禽（栗? ）為實驗材料，記錄其正常叫聲以及亞鳴禽斷nxiits后的叫聲，用cooledit2000聲音處理軟體制出原始信號及其展開圖，聲圖，頻率譜圖以及能量統計分布圖，並對所得結果進行聲學比較分析，以期得到鳴禽、亞鳴禽及非鳴禽叫聲在聲學特性上的差異，以及亞鳴禽在斷神經后叫聲的聲學變化，旨在為進一步解釋其發聲機制提供幫助。
  5. The detailed works are as follows : the finding patterns problems in the time - series data sequence are described, and a new trend logic expression method is introduced, and its algorithm and experiment result of algorithm are given ; time - scries data are disposed, and using the arctg. slope of line as the sample of pattern recognition, so ignoring the aberrance of pattern in the classified. in addition, a new time - series pattern finding algorithm based on higher - order neural network is put forward

    同時給出了本文的具體的工作，主要是：對在時序數據序列中發現模式問題進行了描述，並介紹了一種新的趨勢邏輯表示方法，給出了其演算法及演算法的實驗結果；對時序數據進行處理，提出了利用線段的斜率反正切值作為模式識別的樣本，從而在分類時忽略模式的畸變；另外，還提出了一個新的基於高階神經網路的時序模式發現演算法。
  6. In this thesis, we combine the theory of neural network and traditional image processing technique, analyze and research the topic of the location and recognition of vehicle license plate based on structural alternative covering algorithm, and try to locate the car plate even there exist lots of distributive factors in the image and recognize the characters finally

    本文基於構造性的覆蓋演算法，將神經網路技術和傳統的圖像處理技術相結合，對車輛牌照的定位和識別進行了較為深入的分析和研究，力求在圖像中存在較多干擾因素的情況下仍然能夠較好的定位車牌並給出最終的識別結果；論文主要工作和創新點如下： 1
  7. In this thesis, aim to the beam axis shape be exactitude for design, the internal force of the beam be appeased by design request, the concept of modem cybernetics is applied, at the same time, the effecting parameter has collected. the paper build the ann model in predicting the beam camber an construction and discuss indetail the extraction of inputting nodes information when quoting the fundamental principle of ann model and introducing research process of the improved bnn. according to them, ann is applied in the construction control of prestressed concrete continuous bridge

    本文以大橋成橋線形滿足設計要求和成橋內力控制在設計容許范圍內為目的，運用現代控制理論的思想，引用神經網路基本原理，詳細介紹bp神經網路的研究過程，從而建立預應力混凝土連續梁橋施工預拱度的神經網路模型，並詳細討論了模型的神經網路結點信息的提取，在工程實例的基礎上進行了數值計武漢理工大學碩士學位論文算，數值表明，將神經網路應用於預應力混凝土連續梁橋施工控制，獲得了滿意的結果，在預應力混凝土連續梁橋施工控制技術研究方面，具有方便有效、精度高的優點，具有良好的應用前景。
  8. We use neural network model to implement correction part, train it using the samples of history disaster data, and correct the computing result of the former, then get the ideal result, which improves the prognostication precision. the property loss evaluation method targets insurance item as evaluation object. by using the collected data effectively, it builds a model using the method of rbf neural network, and this model is used to evaluate the property loss

    災情修正部分採用神經網路模型，以歷史災情情況為樣本進行訓練，對前面計算的結果進行修正，從而得到理想的結果，使得預測精度進一步提高；財產損失評估方法以保險標的為評估對象，有效利用收集到的信息，運用rbf神經網路方法建立模型並進行財產損失評估。
  9. Influence of tsaoko - anemarrhenae decoction on behavior and microstructure of hippocampal neurons in epileptic rats

    草果知母湯對癲癇大鼠行為和海馬神經元顯微結構的影響
  10. Examples indicate that the method is available and exact for implicit expressed performance function, and it is a new and effective way for structure reliability analysis

    實例數值結果表明，基於神經網路將隱式函數轉化為明確表達的極限狀態方程是可行的，同時該方法具有較高的精度，為結構可靠度計算提供了新的有效思路和手段。
  11. The program of data processing in determination of percent released of pharmaceutical preparation was developed ; two modules included in this program are connected but independence each other, one module calculate percent released, one module regress equation ; determination of percent released of pharmaceutical preparation, comparison of released curve in one reference frame and modeling mathematics model were realized by running this program. the program of formulation optimization based on artificial neural network was compiled to solve the nonlinear problem in formulation optimization. provided parameters were used to predict the released amount of a set of formulations

    簡便，其計算結果與現有其他程序計算結果基本一致：開發固體制劑體外溶出試驗數據處理程序，程序運行時分為計算累積釋放百分率和優選最佳數學模型兩個相互連接又各自獨立的環節，實現了累積釋放百分率的自動計算，同一坐標系下釋放曲線的直觀比較，常用數學模型的擬合；開發基於人工神經網路的處方優化系統，解訣處方優化這一多目標、非線性優化問題，利用符合擬合精度的訓練結果預測給定處方的釋放度，預測結果與實驗結果基本相近。
  12. To plants with big time delay, the neuron pid control method with fuzzy - tuning gain is proposed. being used to control the water temperature process, the simulation tests results prove the validity of the proposed method

    針對具有不確定性的大純滯后對象，提出了增益模糊自整定神經元pid控制方法，並以具有大純滯后特性的水溫調節過程為背景，進行了模擬實驗，模擬結果證明了該方法的有效性。
  13. 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
  14. Based on the practical condition of the heating distribution network in beijing city, this paper systematically discusses the application of the neural network in the field of heating burden prediction and dispatching, include : based on city heating system, systematically analyzing the current condition of the heating system in our city and the development of the international heating technique, discussing the tendency in the field of the domestic heating system. at the same time, constructing a heating model characterized by distribution, ranking structure, intelligentized and favorable practicability and reliability, which adapts to the situation of our city and greatly enhances the level of automation and energy saving

    本文從北京市供熱管網的實際出發，系統地討論了適合我市實情的神經網路技術在供熱管網預測和調度中的應用研究，主要進行了如下幾個方面的工作：以城市供熱系統為對象，綜合分析了我市集中供熱的現狀，結合當前國際供熱技術的發展，分析了我市集中供熱的發展趨勢，並提出了一種適合我市實情的供熱模型，該模型具有分散式、遞階結構、智能化以及良好的實用性和可靠性等特點，可極大提高集中供熱的自動化水平和節能效果。
  15. The attenuation indexes of vertical direction components and level radial components of blast earthquake wave in the condition of far range are all larger than the one in the condition of close range. based on upwards analysises, relevant control ways and safety defending technology of blast vibration are given from the aspects of blast equipments, blast parameters, landform physiognomy, blast methods. and taking the practical data from blast scene as the sample, the blast shockproofness are forecasted by the feedforward nerve network model based on the prior knowledge of blast shockproofness, the regress analysis method and experience formula method, which supply the technology gist for

    並且，以爆破現場的實測數據為樣本，採用基於爆破震動強度先驗知識的前饋網路神經模型、回歸分析法及經驗公式法分別對爆破震動強度進行了預測研究，為爆破施工參數的確定提供了技術依據，確保整個爆破工程順利安全進行，並對這三種方法的預測結果進行了對比分析;對比分析表明，三種預測方法計算出來的結果精度相差甚大，從檢驗樣本值與預測結果值之間的相對誤差可以看出，人工神經網路法預測的結果較其他方法更接近於實際值，回歸分析預測法的精度又要高於經驗公式預測法。
  16. Through study of correlative contents of advanced computer cybernetics, artificial intelligence, the domain knowledge and special crop growth mechanism in greenhouse, we present the system of multi - sensor data fusion ( msdf ) based on radial basis function network ( rbf ) to implement on line detection for nutrient - liquid, which may realize multiple components detection on - line, for example no3 -, cl -, ca2 +, ph, ec, nh4 +, k + and so on. the soft sensor ' s mechanism is introduced to overcome the limitations of sensor ' s manufacturing process. to improve the believe - degree of soft sensor ' s result, we analyze soft sensor ' s result by uncertain inferential capacity and combination rule of evidential theory

    本論文通過對計算機技術、控制理論、人工智慧技術和設施農業領域知識等相關理論的研究，結合對特定溫室蔬菜生長的研究與機理分析，提出了一種基於rbf神經網路的營養液多傳感器數據融合（ msdf ）系統，實現對營養液組分： no _ 3 ~ - 、 cl ~ - 、 ca ~ （ 2 + ） 、 ph 、 ec 、 nh _ 4 ~ +和k ~ +的在線檢測；對于由於目前傳感器製造工藝的限制而不能在線檢測的離子成分如磷酸根和硫酸根，提出了一種基於徑向基函數網路的軟測量機制，可以有效地實現對營養液中磷酸根和硫酸根成分的實時檢測；為了提高軟測量結果的可信度，利用d - s證據理論的不確定推理能力和合成公式，結合領域知識對軟測量結果進行可信度分析。
  17. First, the basic theory of the competitiveness is analyzed, evaluating indexes which conclude relative and absolute indexes basic on the last literatures are set up. second, because the data are too many and computing time is too long, the competitiveness of science and technology of 30 areas are clustered using fuzzy clustering model, the areas of the whole nation are clustered several kinds and we can draw some conclusions of same kind. evaluating the competitiveness using single model can produce white noise, so combinational models which concluding neural network, fuzzy theory and genetic algorithm are brought forward to evaluate the competitiveness of areas which are in the same kind with fujian province in the test

    本文首先分析科技競爭力的基本理論，並根據以往研究科技競爭力文獻，建立包含絕對指標和相對指標的評價科技競爭力評價指標體系，其次，針對評價福建省科技競爭力在全國范圍內的排名情況數據較多，計算時間較長的具體情況，利用模糊神經網路模型對全國30個省市自治區科技競爭力水平進行聚類分析，將科技競爭力水平接近的地區聚為一類，得出科技競爭力水平相近地區情況，而後，針對已有文獻科技競爭力評價只是利用單一模型可能產生噪聲，影響評價結果，並且主觀性較強的缺點，本文將神經網路、模糊數學、遺傳演算法等智能演算法組合，利用組合評價模型對福建省和與福建省同在一類的其它地區的科技競爭力水平進行橫向、縱向評價，得出福建省在全國范圍內的科技競爭力水平排名。
  18. The result and analysis offers academic foundation to the research concerning learn and memory and behavioral biology of camponotus japonicus and accumulates scientific information for the development of neurobiology

    本實驗結果和分析為日本弓背蟻學習記憶和行為學研究提供了理論依據，為神經生物學的發展積累了科學資料。
  19. For categorizing the criminals, it is to convert the raw scores of criminals into the standard scores in order to process the cluster analysis, the result manifests that e, n, p has higher scores while l obtains lower score, under which criminals were categorized in three types as neuroticism, psychoticism and sociability

    為對罪犯類型分類，將罪犯的epq原始分轉換為標準分並進行聚類分析，結果突顯e 、 n 、 p的高分和l的低分並按此將劃分為神經質型、精神質型和社會交往型三類。
  20. Results the clinical features showed progressive muscle weakness in upper limb ; emg showed neurogenic changes, motor and sensory nerve conductive velocity was normal ; nerve repetetive stimulation showed decreased response ; muscle histochemistry revealed neurogenic findings ; ultra - eletronmicroscopy was not abnormal

    結果該例患者表現為進行性肌肉力弱，肌電圖顯示神經源性損害，神經重復刺激檢查示波幅下降，肌肉病理顯示小簇狀肌肉萎縮，電鏡下除極少數肌纖維膜溶解外其他未見特殊。
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