網狀神經系 的英文怎麼說

中文拼音 [wǎngzhuàngshénjīngxì]
網狀神經系 英文
net-like nervous system
  • 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...
  • 狀 : Ⅰ名詞1 （形狀） form; shape 2 （情況） state; condition; situation; circumstances 3 （陳述事件或...
  • 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
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 網狀 : nets （土紋）; dicty-; dictyo-網狀脈 [地] network vein; [植物學] netted [reticulated] veins
  • 神經 : nerve; nervus
  1. According to clinical observe with the experiment, the root of remembranous milk vetch has system of excited central nervous, protection is hepatic, prevent glycogen yuan decrease, diuresis and reduce blood pressure, enhance meshy endodermis system to gobble up a function, stimulative antibody is formed, guide the function such as unripe interferon

    據臨床與實驗觀察，黃芪具有興奮中樞神經系統，保護肝臟，防止肝糖元減少，利尿與降低血壓，增強網狀內皮系統吞噬功能，促進抗體形成，誘生干擾素等功能。
  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. The system fully exploited the superiority of pc104 embedded computer in low cost and high reliability, using various detectable signals from construction machinery and combining nerval network with expert system to realize condition warning and failure diagnosis of construction machinery

    該系統充分發揮pc104嵌入式計算機低成本、高可靠性等優勢，利用工程機械上多種可以測取的信號，將神經網路與專家系統相結合，可實現工程機械的狀態報警和故障診斷。
  4. I got a neuroanatomic lesion affecting my reticular activating system

    我有神經管能上的損傷，影響了我的網狀活化系統。
  5. Specially in which a bp artificial neural - network was used to recognize the sequential pressure signal of the dosing system and to identify its state

    特別是，採用bp人工神經網路對灌注系統壓力波形進行識別，並從中得到灌注系統的故障狀態。
  6. Since there is few core data and logging data in this area, the lian - 150 well is selected as the standard well that has imaging logging data which is combined with few core data to establish the fracture identified mode with bp neural network and gray system theory. it makes the satisfied effect of the muti - well interpretation and solves the problem of the absence of the exceptional well data and the difficulty of fracture identification

    本論文在該地區巖心資料少，測井資料不全的情況下，選取有成象測井資料的聯150井作為標準井，運用成象測井資料結合少量的巖心資料建立起該地區bp神經網路和灰色系統理論裂縫的識別與評價模型，用於該地區的多井解釋取得了滿意的效果，解決了該地區特殊測井資料缺乏、裂縫測井識別較難的現狀。
  7. Aiming at the study actuality of fan performance monitoring system and analysis of fan performance curve changes affected by inlet - box and the different fixed - angles of guide blades in the course of installation, a fan flow monitoring model based on rbfnn in whole flow zone was established in this thesis. in the model, the method of no throttle and fan performance curve were used as basis. and on the basis of that model, fan performance curves of 4 - 73no. 8d were approached with experimental data of different speed, different opening - angles of guide blade and different resistance of pipeline, the precision and the error law of model were studied

    本文針對電站風機性能監測系統研究較少的現狀，在實驗的基礎上分析了現場加裝進氣箱和由於安裝造成的導流器葉片開度不一致對風機性能曲線的影響，並在此基礎上採用無節流方法測量流量，以風機調節性能曲線為依據，建立了基於徑向基函數（ rbf ）神經網路的風機流量全程監測模型；以實驗室4 - 73no . 8d離心風機為研究對象，探討了rbf神經網路差壓模型在變轉速、變導流器開度和變管網阻力等工況下的應用精度和誤差分佈規律；最後用visualc + +語言開發了風機性能在線監測系統。
  8. The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method

    本文具體內容安排如下：第一章介紹了信用、信用風險、信用評價的概念，回顧了信用評價的歷史、發展和現狀，並綜合各種信用評價模型，指出這些模型各自的優缺點：第二章簡單描述了人工智慧技術，著重介紹有關專家系統與神經網路的基礎知識，通過總結它們的優缺點，指出結合專家系統與神經網路構造混合型專家系統的必要性；本章還介紹了神經網路子模塊的概念，提出了混合型專家系統的一般框架與設計步驟：第三章對樣本數據進行處理，包括異常數據的剔除、因子分析等，提出了信用評價混合型專家系統的具體框架結構，介紹了系統知識庫的主要部分、基於優先級的正向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法；第四章介紹了面向對象技術，進而採用面向對象對信用評價系統進行分析，建立了對象模型和功能模型，並在此基礎上，採用c + +語言以規則類為例說明系統中具體類的實現，用偽代碼的形式描述了推理的演算法；第五章描述了整個系統的結構，對系統主要功能模塊和界面進行了介紹，並總結系統的特點；第六章總結了全文，指出本文所構造系統存在的不足以及對將來的展望。
  9. Based on many references, a evaluating function is proposed with performance index of hall call waiting time ( hwt ), people number in a car, energy consuming. the statistic approximation algorithm for hwt is introduced, based on the analysis of elevator traffic state, the calculation of traveling distance and stop number is explained in detail in the thesis. according to the characteristics of the elevator, a group of elevator teaching signals are constructed, by which the weight coefficients are trained according to the widrow - hoff rule

    本文在借鑒了大量的文獻基礎上，提出以平均等候時間、轎廂人數、能源消耗為性能指標的評價函數；詳細介紹了乘客待梯時間hwt的統計近似演算法；基於對電梯交通狀況的分析，對停層次數和運行距離這兩個重要參數的計算進行了詳盡的介紹；依據電梯運行特性參數，構造一組電梯運行教師信號，並採用神經網路的widrow - hoff學習規則訓練權系數。
  10. Hi the aspect of symmetry analyzing to the hopfield model neural network with hebbian learning, we study on the dynamical behavior of the state space under the action of isometric transformation group g = z2 ? n, and prove the invariant property of the energy orientation ? / / " ) of the state space under the action of g. we find that the symmetry relationship of the network is sx - sw = sh when the active function of the neuron is odd, where sx is the symmetry of the patterns set x under hebbian learning rule, sh is the symmetry of the network and sw is the symmetry of the weight matrix w of the network

    ） s _ n為手段，研究了網路狀態空間在群g作用下各點的運動情況，證明了群g作用下的不變性。證明了當神經元的激活函數f為奇函數時， hebb法則下存儲樣本集x的對稱性s _ x 、網路對稱性s _ h以及連接矩陣對稱性s _ w三者之間滿足s _ x = s _ w = s _ h的關系；同時，我們還證明了：網路穩定態集vf同一s _ h軌道中的兩個穩定態的動力學行為（能量和吸引域大小）相同；兩個等距網路h和h 1 = g ? h ， （ ? ） g （
  11. On the basis of bishop, fem ( finite element method ), dem ( disturbing energy method ), ann ( artificial neural network ) and ai ( artificial intelligence ), the thesis has study in details about the stability analysis, condition forecast, repair mode selection of the landslide, and obtain some significative conclusion

    本文結合實例，運用簡化畢肖普法、工程數值模擬技術-有限元法、基於系統能量準則的干擾能量法、神經網路理論及人工智慧理論等多種手段，從不同角度對滑坡的穩定分析、狀態預測、整治方案選取等進行了較為深入的研究，得出了一些有意義的結論。
  12. ( 4 ) the intelligent inspect system for roof latticed truss structure in shenzhen citizen center is selected as a practice background, and the intelligent inspect method to the steel bracket of roof truss is researched in present paper, in which includes several tasks as follows : automatic load identification for bracket based on neural network method, prompt calculation for the stress of key points on bracket, and its service status evaluation and stress alarm

    （ 4 ）以深圳市市民中心屋頂網架結構的智能監測系統為實際應用背景，詳細介紹了網架結構支撐鋼牛腿的智能化監測方法。其中包括，基於神經網路的牛腿瞬時荷載的自動識別、牛腿關鍵點應力的快速正向計算、以及關鍵點工作狀態的評估與報警。
  13. A survey of neural networks, neuro - control and time - delay systems is summarized, and the problems existing in time - delay control systems are also discussed. 2

    綜述了神經網路、神經控制及時滯系統的研究現狀，並就基於神經網路的時滯系統控制方法提出了作者的一些觀點； 2
  14. Solving these problems does very much good to the practical application of shape recognition system

    以上問題的解決對應用聯想記憶神經網路形狀識別系統解決實際問題具有很大的意義。
  15. In this paper, systemic theoretic analysis of the relationship of stock structure and operating performance is progressed, based on this, theoretic study and demonstration analysis organic fall together, and the neural networks model that can reflect their relationship total and systemic is established. the input variable of the model can reflect the panorama of stock structure, also, it can embodiment other influence factor of company performance. the evaluation target system that can reflect the operating condition of listed companies completely, impersonality and truly is advanced, at the same time, the best result weights confirm method is brought forward, thereby, the fuzzy integrate evaluations method is improved

    本文對股權結構與經營績效之間的關系作了系統的理論分析，並在此基礎上，將理論研究和實證分析有機地結合起來，建立了一個能全面、系統地反映它們之間關系的神經網路模型：該模型的輸入變量在反映股權結構全貌的同時又體現了公司績效的其它影響因素；提出了可以全面、客觀、真實地反映上市公司經營狀況的評價指標體系，同時提出了最佳結果權重確定法，從而改進了模糊綜合評價方法，並利用改進的模糊綜合評價法求出公司經營績效的綜合量化值作為神經網路的期望輸出；改進了神經網路模型的演算法，使其在樣本數據相對較少的條件下也能很好地在性態上模擬被逼近函數。
  16. This thesis draws to the conclusion by the methods of model system ? experiment analysis and comparison that the latter one is of more theoretic significance and deeper application background. then we can say the attribute theory is superior to neural network method in the domain we concerned

    這表明，為解決橋吊的狀態監測與安全評估的系統建模計算機實現的問題，屬性論方法提供了一個比神經網路更優越的新模型和新思路，具有理論意義和重要的應用價值。
  17. First, the system operation conditions that include three input types ( square, sinuous and triangle ) with different frequencies ( l / 250hz, l / 5hz and 1hz ) are discussed. in fault detection processes, we construct 4 three - layer bp neural networks to learn the normal states of the system. the outputs of trained neural networks are as the estimate values of the sensors

    本文詳細研究了在這種情況下的故障診斷問題，針對某液壓系統，分析了系統在方波輸入、正弦輸入、鋸齒波輸入下，分別在正常工作頻率、極限工作頻率以及接近極限工作頻率等9種工作狀態的特性，以及在這9種工作狀態下，運用神經網路觀測器進行傳感器故障診斷研究。
  18. With continuous wavelet transform as feature extraction method and neural network as classifier, a transmission ge ar wear estimation system is designed and applied in estimating the wear condition of the gear

    以連續小波變換作為變速箱齒輪的磨損特徵向量的提取方法、以神經網路作為分類器，設計了變速箱齒輪的磨損估計系統，並應用於變速箱齒輪的磨損狀況估計。
  19. This anfis model combines the neural network adaptive capabilities and the fuzzy qualitative approach such that the soc estimation can be performed in an effective way

    自適應模糊推理系統將神經網路的自適應特性和模糊推理結合起來，能夠有效的估計電池的荷電狀態。
  20. The main study content in the paper are the formalization and modeling and reasoning solving of multi - person multi - layer multi - object comprehensive evaluation problem ( m3cep ), neural networks comprehensive evaluation model, the design and realization and development of qualitative and quantitative integrated comprehensive evaluation intelligent decision support system ( ieidss ) and the development of intelligent decision support system of the operating state of power supply enterprises

    本文的主要研究內容有多人多層次多目標綜合評價問題的形式化、建模與推理求解，人工神經網路綜合評價模型，定性與定量集成式綜合評價決策支持系統的設計、實現與開發研究以及智能型供電企業營業狀況綜合評價決策支持系統的開發。
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