神經特定能量 的英文怎麼說

中文拼音 [shénjīngtèdìngnéngliáng]
神經特定能量 英文
specific energy of nerves
  • 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
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 能 : 能名詞（姓氏） a surname
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 神經 : nerve; nervus
  • 特定 : 1. （特別指定的） specially appointed; specially designated 2. （某一個） given; specified; specific
  • 能量 : 1 [物理學] energy; amount of energy 2 （能力） capabilities; capacity; 能量不滅 conservation of e...
  1. Firstly, we study the construction of emotion - speech template database, and analyze the common features such as pitch, energy and formant. after choosing the useful features by using fuzzy entropy effectiveness analysis, we get better performance with the application of neural network. in addition, we propose some more efficient features such as speech rate, pitch slope, mel - frequency cepstral coefficients and its transient parameters, and design a processing model based on vector quantization for cepstral features to fusing different features

    本文首先介紹了情感語音數據庫的建立情況，然後研究了基音頻率、振幅能量和共振峰等目前常用的情感特徵在語音情感識別中的作用，並且通過一種基於模糊熵的特徵有效性分析方法進行了有效特徵的篩選，應用人工神經網路建立了初步的語音情感識別模型，經過實驗發現特徵篩選后系統的識別效果有著一定程度的提高。
  2. A experienced equation which is summarized by many experiments is used to determine the number of mesosphere nerve cell and a sort of new square - sum function of errors is adopted. its characteristic is that weight errors of possible exceptional point is less. accordingly, the effect of errors of possible exceptional point is reduced, which make actual function relation simulation easier

    本系統針對bp演算法的局限性，給出了一種優化的bp演算法，採用經過大量實驗總結出的經驗公式來確定隱層神經元的個數，並選取了一種新的誤差平方和函數，該函數的特點是對一些可能的異常點的誤差權值設計的較小，從而降低了異常值誤差帶來的影響，便於模擬出真實的函數關系。
  3. 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。
  4. On the base of the study of combustion characteristics of large capacity coal - fired boiler, a fuzzy comprehensive judgement model of boiler combustion stability is established. the methods of fuzzy mathematics and neural network are applied to establish the judgement model with self - studying function

    本課題在對我國大容量機組鍋爐燃燒特性進行研究的基礎上，運用模糊數學和神經網路方法建立了具有自學習功能的鍋爐燃燒穩定性模糊綜合評判模型。
  5. Secondly, through the survey of expert and the methodology of key success factor ( ksf ), it concludes the concrete ksfs of air product and water processing facility product. the ksfs of air product : brand name, service assurance, marketing network, large scale economic production, r & d ; the ksfs of water processing facility product : quality management, r & d, service assurance and marketing network - thirdly, through the methodology of value chain and core competence embodied with defined key success factor and main success factor, this paper analyses and evaluates the internal environment. it points out that air product has these advantages such as quality management competence, r & d competence, service assurance competence, large scale production competence, and has these disadvantages such as marketing network, brand name, cost control

    本文首先運用pest分析法和波特的五種競爭力量模型，對奧神公司的臭氧空氣系列產品和臭氧水處理工程產品所處的宏觀環境、競爭狀況進行了分析和評價，認為奧神公司產品面臨著國家產業政策扶持、不斷增長的環保需求、人們對清潔空氣和潔凈水的需求增長等發展機會，也面臨著行業市場不規范、市場競爭激烈、用戶討價還價能力強等威脅；其次，通過專家調查，運用關鍵成功因素理論，分析得出臭氧空氣凈化系列產品市場的關鍵成功因素是品牌建設、服務保障能力、營銷網路建設、規模經濟水平、產品研發能力：臭氧水處理設備市場的關鍵成功因素是質量管理能力、研發創新能力、服務保障能力、營銷網路建設；再次，運用價值鏈理論、核心競爭力理論並結合所確定的關鍵成功因素和主要成功因素對奧神公司產品所處內部環境進行了分析，認為臭氧空氣凈化系列產品擁有質量管理能力、產品研發能力、售後服務保障力、規模生產能力的優勢，同時面臨著營銷網路建設、品牌建設、成本控制能力方面的劣勢。
  6. 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。
  7. With the coming of information age, more and more people realize the importance of information. useful information hidden in plenty of data needs mining energently. the technology of data mining arises and develops unders such circumstance. the main tast of data mining is to extract or mine the useful information from the data. we can get great amount of data from the computer transaction every day. the data is very useful for us to make decisions on management. the paper concludes and introduces association rule about its concept, sort, model and step for mining the data, measure and some basic algorithm on the basis of the at research. at the same time, we analyse hopfield - network ' smodel, character, energy - function, movement - equation and so on. moreover, to the requirement of the system of information of computer - saling, we have done the following and there are good result. fisrt, considering the weight and constraint, we propose the algorithm for the weighted and constraint association rule

    本文首先對數據挖掘中的關聯規則和神經網路的已有成果作了詳細深入的調研，歸納和整理了關聯規則的概念、分類、關聯規則挖掘的模型與步驟、關聯規則的度量方法以及一些基本演算法；還歸納和整理了hopfield網路的模型、特徵、能量函數、運動方程等，並在此基礎上，結合電腦賣場信息支持系統提出的需求，做了如下工作，並取得了一定的成果和成效： （ 1 ）考慮加權與約束兩種情況，提出了既帶權重又帶約束的關聯規則提取演算法。
  8. With the help of dynamic qualitative information of working marine diesel power equipment in this field and expertise, a new long - distance oil monitoring expert system of marine diesel power equipment has been proposed and developed with the characteristic of expounding the dynamic features of marine diesel power equipment from the perspective of chaos knowledge, possessing intellectualized auxiliary decision - making mechanism based on fuzzy reasoning and neural network reasoning, utilizing mathematic analysis model established by means of track facility states of chaos vector and capable of evaluating the analysis results of oil monitoring facil ity ' s development of engine power and its working conditions accurately

    然後，結合廣泛搜集的本研究領域內船舶柴油機動力裝置在運行中的動態定性信息與專家經驗，研製開發了運用混沌學的觀點闡釋船舶動力裝置的動力特性，並擁有基於模糊推理與神經網路協作推理的智能化輔助決策機制，採取通過求取設備狀態混沌向量等方法建立的數學分析模型進行數據分析，能準確地評價船舶柴油機動力裝置油液監控設備狀態變化趨勢及其運轉狀況的遠程輪機油液監控診斷專家系統。本文研製開發的遠程輪機油液監控診斷專家系統在internet intrabet網路環境下，具有遠程智能專家診斷的特點。
  9. Gene expression of neural related genes was identified by semi - quanti - tive rt - pcr analysis and genechip assay. 4 and 10 days after neural induction, gene expression pattern was analysed by genechips, which showed the expression of some neural stem cells and mature neurons specific and related genes, repectively. especially the expression of gabar and glutamate dehydrogenase ( gad ), which meant the induced cells could be gabanergic neurons

    2 .基因晶元檢測到未分化escs 、神經幹細胞及成熟神經細胞的相關基因，並由半定量rt一pcr證實基因晶元檢測未分化細胞表達胚胎幹細胞特異基因;誘導后第4天細胞高表達神經幹細胞特異性基因;誘導后第10天細胞高表達成熟神經細胞特異性基因，且有gaba受體、谷氨酸脫梭酶（ gad ）表達，說明誘導后細胞大多為以ba能神經元。
  10. With the development of communication, information and electronic technology and computer network, intelligent transport system ( its ) is paid more and more emphasis, it contains many parts, such as vehicle type recognition and license plate recognition. in this paper, we introduce svm to the field of its, the main work is described as follows : ( 1 ) we summarize the latest research achievements and development of its, present the conceptions of slt and the principles of svm ; ( 2 ) taking the traffic sign as examples and adopting hough transform in the stage of feature extraction, we introduce svm to the problem of shape recognition and compare the experimental results with traditional learning methods. ( 3 ) then we use svm to settle the vehicle type recognition problem, where we utilize the wavelet analysis and mathematical morphology method to extract the figure feature

    本文將支持向量機引入智能交通系統領域，主要進行的工作如下： （ 1 ）整理總結了國內外學術界關于統計學習理論方面的研究成果，介紹統計學習理論的基本概念和支持向量機的基本原理； （ 2 ）在形狀識別問題中以交通標志圖像作為實驗對象，利用hough變換進行特徵提取，在識別階段利用支持向量機方法進行分類，並與神經網路等傳統學習方法對比； （ 3 ）將支持向量機應用於車型識別問題中，針對收費站採集的汽車圖像，首先採用小波分析和數學形態學的方法提取其外形特徵，在識別階段利用支持向量機方法進行分類，並與其他傳統學習方法進行了對比； （ 4 ）將支持向量機應用於車牌識別問題中，車牌識別包括車牌定位、車牌字元分割以及字元識別三個步驟，先採用數學形態學方法對車牌區域進行定位，然後採用top - hat變換等方法分割車牌字元，在識別階段採用支持向量機演算法進行字元識別，取得了較為滿意的結果。
  11. Applied in license plate segmentation problem, a new segmentation method of automobile license plate based on wavelet transform and neural network is pointed out [ 71 ]. 2 ) phase of image feature extraction : combined with the feature extraction of structural and statistical method, a method of image character feature extraction based on wavelet and moments analysis is presented [ 74j. 3 ) phase of image classificaton [ 73 ] : after investigation on intelligence recognition technology, the paper puts forward basic structure of recognition machine ' s model, and makes a primary research of basic structure and design method, then makes research of the multi - character method

    並應用於車牌分割問題，提出基於小波與神經元模式識別的車牌圖像分割方法； 2 ）特徵提取階段：將結構特徵提取方法和統計特徵提取方法的緊密有機結合，提出一種基於小波和矩的車牌圖像字元特徵向量提取方法； 3 ）分類識別階段：對智能識別技術進行研究，提出智能識別機的模型結構，對識別機的基本層次結構和設計方法進行初探；並針對多特徵方法進行一定的研究；本文提出的基於模式識別的圖像處理方法對其他領域的圖像處理具有一定的參考價值。
  12. According to the boiler ' s practical condition, two feasible methods to determine the diagnosing characteristic parameters are brought out, one is based on the system ' s energy - distribution principle and the other is based on the system ' s energy - balance relation, on the basis of the above research, in order to carry out on - line monitoring and diagnosing for air leak state in power station boiler, the artificial neural network is adopted as the intelligence diagnosis tool, the air leak diagnosis scheme based on the principles of system energy - distribution and system energy - balance relation is presented firstly and then the different diagnosis models of artificial neural network are built respectively

    作者根據電站鍋爐漏風的實際情況，提出了兩種確定系統漏風狀況診斷特徵向量的可行方法，即基於系統能量分配原則的提取漏風診斷特徵向量的方法和基於系統能量平衡關系的提取漏風診斷特徵向量的方法。在此研究基礎上，本文採用人工神經網路作為智能診斷實現工具，提出了基於系統能量分配原則和基於系統能量平衡關系的漏風診斷方案，分別構建了不同的漏風診斷神經網路模型，以實現電站鍋爐漏風狀況的在線監測與診斷。
  13. Firstly, the paper analyzes the type, characteristic, manifest and reason of the commercial bank ' s risk in its running. secondly, based upon the further analysis of the traditional alertness - forecasting methods, put forward the methods used in the thesis combined by fuzzy mathematics theory and back propagation nn technique, and analyze the feasibility and advantages of the application of this method into the construction of commercial bank alertness - forecasting system. thirdly, apply the method combined quantitative with qualitative analysis, as well as theoretic analysis with positive study to establish an easily operated index system of the commercial bank ' s risk and find a perfect alertness - forecasting method, furthermore, to establish an alertness - forecasting system in order to control and manage the commercial bank ' s risk

    本文首先對我國商業銀行進行了風險識別，深入分析了商業銀行在其運行過程中存在的風險類型、特點、表現及其致因；其次，在對傳統預警方法深入分析的基礎上，提出了本文所採用的模糊數學理論和bp神經網路技術相結合的預警方法，並分析了將本文的預警方法運用於商業銀行風險預警系統構建的可行性和優越性；再次，本文運用定量分析和定性分析相結合、規范分析和實證研究相結合的方法，構造出一套比較能反映商業銀行風險的指標體系，尋求了一種比較理想的預警方法，進而設計出商業銀行風險預警系統，並進行了實證分析，以達到對商業銀行風險進行實時監控的目的；最後，筆者對本文的研究成果進行了總結。
  14. Methods : total 1607 college students were sampled from six universities / colleges of changsha city by stratified cluster sampling, 502 of these samples involved in this study by self - designed questionnaire, then 105of them were identified as piu by self - designed diagnosing scale, and measured by self - designed on - line general conditions questionnaire, social disability screening schedule, typical coping style questionnaire, eysenck personality questionnaire and scl - 90. results : 105 students are diagnosed as pathological internet users among 1607 interviewers, 89 of them are male, and the rest are female ; the average age of them is 20. 57 ?. 55

    方法：採用分層整群抽樣方法，對長沙市6所高校的大學生採用自製大學生病理性網際網路使用篩查表進行篩查，對篩查出的病理性網際網路使用可疑者，應用自製大學生病理性網際網路使用診斷問卷進行診斷，並採用上網一般情況調查問卷、特質應付方式問卷、社會功能缺陷篩選量表、艾森克人格問卷神經質（ n ）分量表及癥狀自評量表（ scl - 90 ）進行評定。
  15. As neural network has the ability of self - learning, that utilizes prior output data of uncertain system to estimate iteratively the static state property of system in order to achieve ideal approaching precision for identification of the positive model, a robust iterative learning control scheme on the basis of better positive model is designed. the neural network is used to identify the positive model of nonlinear system on iterative axis, which can give feed - forward action of iterative learning controller to reduce the effects of nonlinear properties and model uncertainties. meanwhile, feedback action of iterative learning controller make joint movement follow the desired trajectory on time axis by using controlled parameters derived by the neural network

    由於神經網路具有自學習能力，它可利用不確定性系統的歷史輸出數據對系統的穩態特性進行估計，使得對系統正向模型的辨識達到理想的逼近精度，然後在此正向模型的基礎上進行學習控制律的設計：即採用神經網路辨識非線性系統的正向模型，並消除系統不確定性和外部干擾的影響，使關節運動沿迭代軸方向逼近期望軌跡；迭代學習控制器在線學習控制參量，使關節運動沿時間軸方向跟蹤期望軌跡。
  16. A distinguishable faults test generation method for digital circuits is presented. the features of basic gate circuits and neural networks are used to establish the test model, and to generate the test patterns for given faults. the fault model and constrained circuit are studied. some strategies, e. g, the reduction of the size of neural network, are proposed in order to accelerate test generation process. the experimental results demonstrate that the algorithm proposed in the paper is effective

    研究一種基於人工神經網路的能區分故障的數字電路測試生成方法，該方法利用電路基本邏輯門的特性和神經網路模型的特點，首先建立測試生成的神經網路模型，然後通過求解網路能量函數的最小值點獲得給定類型故障的測試矢量，其研究結果在可區分故障的測試生成方面提供了一種可能的新途徑
  17. Acoustic excitation signal is processed with wavelet analysis in this paper, and chooses characters related to adhesive capacity from acoustic signal in the time domain and frequency domain. these characters is the input of nerve network which is used to non - mangle test about mechanics capacity of adhesive structure, and establish the base for classify distinguishing effectively and forecast

    本文採用小波變換的方法對採集到的聲激勵信號進行分析，在時-頻域提取出與粘接性能有關的特徵量，用於粘接結構力學性能無損檢測的神經網路輸入，從而為有效進行分類判別和預報奠定了基礎。
  18. In spite of limited training samples, the method in this thesis is superior to traditional pattern recognition methods if choose suitable features to be input - cell such as features extracted by wavelet transform. the results also manifest that it is feasible to use neural network in pulse processing. a data acquisition system base on serial communication is designed according to the characteristics of manifestations of human pulse

    盡管文中的訓練樣本有限，但模擬結果表明：對脈象信號的一些特定的特徵值（如原始信號的小波變換在不同尺度上的能量） ，利用神經網路進行識別是一種可行而有效的方法，在自適應、自學習能力方面較傳統的模式識別方法具有明顯的優越性。
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