模糊神經原 的英文怎麼說

中文拼音 [móhúshénjīngyuán]
模糊神經原 英文
blurred neuron
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 糊 : 糊名詞（樣子像粥的食物） paste
  • 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
  • 原 : Ⅰ形容詞1 （最初的; 原來的） primary; original; former 2 （沒有加工的） unprocessed; raw Ⅱ動詞（原...
  • 模糊 : 1 （不清楚） dim; vague; indistinct; obscure; fuzzy; blurred 2 （混淆） blur; obscure; confuse; m...
  1. Hydraulic control system of double - cylinder vessel gate is a sort of typical electrohydraulic proportional control system0 in order to study electrohydraulic flux control characteristics of this system, i have analyzed the principle of this hydraulic control system, and made its mathematics model ? in double - cylinder hydraulic system, it is necessary to process electric synchronous control in this hydraulic system, this paper also introduces a sort of fnn ameliorated from the point of view of intelligent control theory, and clarifies the principle of applying that network to achieve synchronous controlo at the same time, the means of fuzzy configuration analysis is used for network training, the comparative experiments make known that the method of applying fnn to realize synchronization control is feasible, furthermore, its effect is better than others0 this paper puts forward that a distributed control system can be used to monitor and control vessel gate within a real - time or remote distance, the basic project, structure, applications and functions of computerized scada system in hydraulic system of vessel gate is introduced ? a double layer network structure, epigynous and hypogynous machine network, is applied to this system, in accord with the application of technique such as plc, integrated software etc, this paper introduces the methods and application to achieve the computerized scada system in the task, and analyzes the characteristic of this system, in this paper, the application of configuration in monitor and control system of vessel gate is discussedo in addition, in accord with the application of technique such as visual basicb

    雙缸船閘液壓啟閉控制系統要求解決同步控制問題，文中從智能控制理論角度出發，採用了一種改進的模糊神經網路，結合模糊聚類分析方法，闡述了應用該網路實現同步控制的原理。通過對比模擬實驗表明：應用模糊補經網路實現同步控制是可行的，而且它的同步控制效果要優于傳統的設置主從令缸控制方法，具有良好的魯棒性能。另外，本文提出了建立船閘控制系統的分散式控制系統，介紹了船閘液壓控制系統的計算機監控系統（ scada ）的方案、結構、應用和主要功能，採用雙層網路化結構：上位機網路和下位機網路，並結合plc通信網路技術和組態軟體等技術構成的計算機監控系統的實現方法，實際應用，分析了這種較新的系統模式在船閘液壓控制系統的計算機監控系統的功能實現中所具有的特點。
  2. This thesis introduces the working principle, craftwork requirement, modeling process, control strategies and the realization of lf refining furnance bottom blowing argon control system. through the study and analysis of bottom blowing argon process control system, the thesis discusses the mean neural network model of controlled object and the mathematical models of the exectors, pwm adjustable pressure controller and pcm adjustable flux controller according to the relevant liquid knowledge and relevant data, including design data, test data and running data. to begin with the craftwork reguirement of bottom blowing argon and the actual instance of the control system, it presents the strategies of fuzzy parameters self - adaptive pid control used in pressure difference inner loop and fuzzy plus pi compound control used in flux outer loop which are based on the above modeling in order to carry out the accurate control of argon flux

    本文介紹了lf精煉爐底吹氬過程式控制制系統的工作原理、工藝要求、建模過程、控制策略以及控制系統的實現。通過對精煉爐底吹氬過程式控制制系統進行研究與分析，並根據流體力學的有關知識以及有關數據（其中包括設計數據、試驗數據和運行數據） ，建立起了被控對象的平均神經網路模型和執行機構（即pwm調壓器和pcm調流器）的數學模型。在此模型的基礎上，從底吹氬工藝要求和控制系統的實際情況出發，提出了壓差內環模糊參數自適應pid控制策略和流量外環模糊pi復合控制策略，以實現氬氣流量的精確控制。
  3. In the paper, a speed estimator based on artificial neural network is designed according to the principle of direct torque control, the speed estimator is optimized by genetic algorithm, and the parameters of pid speed adjuster is also optimized by genetic algorithm. a stator linkage and torque observer based on stator resistance estimator using fuzzy neural network is also designed. eventually, the intelligent control of direct torque control system is implemented

    本文根據異步電動機直接轉矩控制原理，在應用人工神經網路進行速度辨識的基礎上，利用遺傳演算法對神經網路速度辨識器進行了優化設計；運用遺傳演算法對pid速度調節器的結構和參數進行了整合；在採用模糊神經網路對電機定子電阻辨識的基礎上，進行了定子磁鏈及轉矩的觀測，為最終實現無速度傳感器直接轉矩控制系統的智能控制創造了條件。
  4. To improve the dynamical property and decoupling capability for a class of multivariable nonlinear systems with strong coupling, based on the principle of decoupling and neural network, a cascade - connected self - adaptive fuzzy - neural network decoupling controller is proposed

    摘要為提高多變量、非線性和強耦合系統的動態特性和解耦能力，根據解耦原理和神經網路思想，提出一種兩級串聯結構的自適應模糊神經網路解耦控制器。
  5. After the analysis of several important aspects of neural control, two novel neural controllers are then proposed. the first controller fam neural controller ( famnc ), based on pre - defuzzifing fam, is presented for bridging the gap between fam and nn. the equivalence of pre - defuzzifing and general fam is proved constructively

    在分析了神經網路控制的一些關鍵技術基礎上，提出了預去模糊fam原理和fam神經控制器，給出了預去模糊fam和一般fam的等價性的構造性證明。
  6. Because of the strong adaptability of csa, in this paper, based on csa, building blocks models constructing approach, mechanism of antibody ' s recognizing ball and fuzzy neural networks, a model identification approach for complex systems with uncertainty was presented. simulations are conducted

    本文採用克隆選擇演算法，結合抗體的模塊化構成方式、抗體識別球原理，以及模糊神經網路，針對具有不確定性的復雜系統，提出了一種基於模糊神經網路的免疫在線模型辨識方法，並進行了模擬驗證。
  7. In connection with the diagnoses problem of 670t / h boiler for chongqing power plant, the hierarchical mixture expert ( hme ) network is developed in this paper. the hme module is employed and the new samples are added and the database for fault diagnosis, fault treatment and interpretation subsystem are broadened to further develop the diagnosis system

    本文針對重慶發電廠670t / h鍋爐故障診斷問題，在原有的研究基礎上採用分層混合專家網路，對其故障診斷系統做了進一步的開發研究工作，增添了分層模糊神經網路模塊與新樣本，拓展了鍋爐故障診斷數據庫及故障診斷處理和解釋子系統。
  8. 2. an introduction of the basic principles of the neuron model - free control and the basic design methods of the fuzzy controller is given

    介紹了神經元非模型控制的結構和基本原理及模糊控制器的設計的兩種基本方法。
  9. When we apply fuzzy control to a unknow process, we can " t find good control rule because of we don " t know it " s characteristics. this paper based on an analytic structure of fuzzy controller put forward a method, which combines fuzzy controller and neural network. use neural network to make identification of system and provide necessary message for ls. regard control object as an output part of network. based on message provided by neural network adopt bp algorithm to modify experience rule. thus, improve dynamic process of fuzzy control system. simulation results indicate ： this controller has better adaptability for variety of model parameters and can modify original system control rule, makes a output follow system input tracks faster

    在對不熟悉的過程進行模糊控制時，由於對過程的不了解，很難得到合適的控制規則.基於模糊控制器的一種解析結構，提出了將模糊控制器與神經網路相結合的方法.由神經網路對系統進行辨識，並為學習系統提供必要的信息，將控制對象視為神經網路的輸出部分，採用bp演算法根據神經網路提供的信息對經驗規則進行修改，從而改善模糊控制系統動態響應.模擬結果表明該控制器對模型參數變化具有較好的適應能力，能夠較快地修改系統的原控制規則，使對象輸出較快地跟蹤系統的輸入
  10. The fuzzy system is constructed through the artificial neural learning algorithm. third, the fault diagnosis using neural networks is discussed in this paper, especially the internal backward neural network with deviation elements. its model and learning algorithm are showed in detail

    其中詳細討論了帶有偏差單元的遞歸神經網路的模型和學習演算法，在此基礎上合成了模糊神經網路系統，將模糊理論和神經計算原理相結合，使神經網路藉助其大規模的并行分佈處理結構完成模糊診斷的推理過程。
  11. In this paper, overall design philosophy and measure while diagonose the prefabricated substation using ann theory are defined, including the definition of fuzzy expression method for fault symptoms, the definition of typical fault collection and typical fault sign collection, the definition of the format of the learning sample and test sample, and the definition of fault diagnosis model formed in coordination by multi ann whose diagnosis principle are also described. a practical software using visual c + + 6. 0 and access2000 as developing instrument are developed on the basis of diagnosis principle put forward by this paper

    本文確定了應用神經網路理論對箱式變電站進行故障診斷的總體設計思想和步驟：確定了監測數據的預處理模糊化方法；建立了箱式變電站典型故障集和典型故障徵兆集；確定了學習樣本的格式，完成了學習樣本的生成；確定了神經網路結構和參數，並對學習樣本應用本文的學習演算法進行了學習訓練，使誤差控制在給定范圍內；以集散監測診斷系統的思想，提出了由多個神經網路協同構成的多神經網路故障診斷模型，並論述了其診斷原理。
  12. In order to solve the problem how to get expert knowledge and how to detect fault, a new settlement is presented in this paper, which is based on simulation. in the beginning of this paper, the writer introduces some conception of conventional expert systems, and analyzes its localization or disadvantage. according to the special of electronic devices, artificial intelligent fault detecting system of a certain radar based on simulation is put forward ; the paper gives the detail of the top bottom design for an example, and gives the solution for remote diagnosing in internet

    本文主要試圖解決這么幾個問題：面向故障診斷進行模擬建模；對模擬模型進行故障注入，獲取故障模式，從而獲取系統全面的專家知識；採用模糊神經網路對這些知識進行規約和抽象；採用模糊聚類演算法對專家知識進行診斷現場的融合；採用虛擬儀表獲取信號數據，運用小波變換等提取故障徵兆，實現故障的診斷和預測；基於模擬模型構建嵌套推理演算法，實現模擬故障排除訓練和考核，分析崗位人員對原理的掌握情況。
  13. The author has collected abundant feature data in this field, applied routine analysis monitoring - based, spectrometric analysis - centered and ferro graphic analysis and particulate counting - validated oil monitoring technology, extracted images and numeric feature information produced by all components as friction ones in marine diesel power equipment. and under the theory guidance of fuzzy and neural network, synthesized the feature data and other interrelated qualitative and / or quantitative feature information of lubricant in diesel engine power equipment from the perspective of lubricant ' s routine analysis spectrometric analysis, ferro graphic analysis, particulate counting technology and so on., to establish an original regulating mathematic model capable of power equipment ' s conditions, diagnosing its failure, maintaining and supervising

    本文綜合應用以常規理化檢驗為基礎、以油料光譜分析為核心，以鐵譜分析和顆粒計數為驗證的油液檢測技術，採集船舶柴油機動力裝置典型數據和相關信息，提取船舶柴油機動力裝置潤滑油中涉及的各種數字、圖像與知識類特徵信息的基礎上，應用模糊理論和神經網路理論，對船舶柴油機動力裝置潤滑油的常規理化分析、光譜分析、鐵譜分析、顆粒計數分析等技術手段獲得的特徵數據，以及其他相關定性定量特徵信息進行信息融合，建立了船舶柴油機動力裝置狀態評價、故障診斷、維修管理原始規則的數學模型。
  14. After limitation of control chart using in practice is analyzed, a method of reasons diagnosis of out - of - control process using both fuzzy set and artificial neural network techniques is put forward

    摘要在分析傳統控制圖在實際應用中存在的缺陷的基礎上，提出了一種利用模糊集和人工神經網路技術進行工序失控原因診斷的解決辦法。
  15. In this paper, the auv is the object of the research. in order to overcome the negative effects of the non - linear part of kinematic model, sea current and wave during motion control, a new type of neural network : fuzzy cerebellar model arithmetic controller ( fcmac ), together with an on - line learning scheme based on the lyapunov stability theory, has been adopted in designing the new motion control system. the simulation results have been compared with those generated by a classic pid controller

    本文以auv為對象，針對其運動控制中模型非線性部分對控制性能影響較大及有海流、海浪等外界干擾等特點，採用一種新型神經網路：模糊小腦模型關節控制器（ fuzzycerebellarmodelarithmeticcontroller ）並結合基於李雅普諾夫原理而推導出的學習演算法設計auv的運動控制系統，並與傳統pid控制器進行了模擬比較。
  16. The simulation experiment had indicated this method in the accurate rate and the diagnosis speed in the fault diagnosis compares the traditional method to have the further enhancement. based on fractal theory, fractal diagnosis method is developed through characteristic parameter of calculating dimension of signal fractal. based on the principles of fuzzy theory and neural network as well as the conception of fractal dimension subordinating degree, fractal fuzzy neural network, input to which is fractal dimension subordinating degree, is constructed

    同時，本論文基於分形理論，以信號分形計算維數為特徵量，建立分形診斷方法;基於模糊理論和神經網路原理，基於分形維數隸屬度的概念，將不同采樣周期對應的計算維數按照模糊化處理，以一個固定的采樣周期時段的分形維數隸屬度為輸入，構成了分形模糊神經網路的診斷方法，提出了一種非線性模擬系統的故障識別方法，並利用模擬實驗驗證診斷演算法的有效性。
  17. 4. combine the constant impedance controller with the schemes mentioned above. an new intelligent controller of efa is proposed

    即利用前向神經網路控制器和模糊神經網路控制器來替代原有經典恆阻抗控制器，並進行了系統模擬的研究。
  18. This paper introduces the principle and method of forced - air cooling system of transformer controlled by dsp, according to the season and load of transformer, the designed system can automatically accomplish frequency conversion and the cooling device ' s devotion by fuzzy - neural network controller

    摘要介紹了以dsp作為核心控制器件的大型變壓器風冷控制系統的原理和實現方法，根據變壓器負荷、季節等變化，通過模糊神經網路調節器自動投切冷卻器組數以及是否進行變頻運行。
  19. In image classing process, the speed of the algorithms is an important factor. k - means algorithm, fcm, sofm network, all deal image pixels as the object, which is the main reason of long working time

    傳統k均值演算法、模糊c一均值聚類演算法及自組織特徵映射神經網路等圖像分類方法，在自動分類過程中以像素灰度為分析對象，這是運用這些方法分類運算速度慢的根本原因。
  20. In order to make rational use of and optimize the land resource, and to promote sustainable use of cropland, cropland quality evaluation is necessary for decision making of governor and land users. taking houhu farm in jianghan plain as an example, the evaluation indicators system of study area is established according to the basic principles of cropland evaluation with the mathematics methods used. then the cropland quality assessment in study area is developed by using geographic information system ( gis ) technology and based on the cropland quality indicator system

    為了科學、合理、有效地評價和管理農用地，為農用地資源的可持續利用提供理論依據，本研究根據農用地評價基本原理，運用模糊數學、主成分分析法、特爾菲咨詢法和模糊神經網路等數學方法和模型，結合地理信息系統技術，以江漢平原后湖農場為樣區，建立農用地質量評價指標體系，開展農用地質量評價和土壤環境質量評價的研究。
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