神經模糊主體 的英文怎麼說

中文拼音 [shénjīngmóhúzhǔtǐ]
神經模糊主體 英文
neural fuzzy agent
  • 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
  • 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
  • 體 : 體構詞成分。
  • 神經 : nerve; nervus
  • 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. Through summarizing the experiences of the salesman and experts, and drawing lessons from the professional organizations such as banks which have established indexes system for credit rating, the thesis builds its own indexes system of credit rating for tally trade which is intentionally built up for enterprises ; then by contrasting the advantages and disadvantages of the commonly used multi - indexes evaluation methods, adopts the fuzzy hamming network as the primary tool for credit rating

    首先通過總結銷售人員經驗，並借鑒銀行等專業機構資信評級所採用的評價指標，建立適合工商企業應用的客戶信用評級指標體系；然後對比常用多指標綜合評價方法的優缺點和適用范圍，確定採用神經網路模型中的模糊hamming網路作為客戶信用評級的主要工具。
  3. Site experiment were carried out on the testing vehicle for ahs and the magnetic markers road in national intelligent transport system center. also, study on multi - sensor information fusion and control model by using neural net system, fuzzy logic and genetic algorithm were carried out. the work completed are as follows mainly : ( 1 ) hardware system for lane keeping system including magnetic marker, magnetic sensor, control system and executor machine were designed

    本文以國家智能運輸系統研究中心的自動公路系統試驗車和專用的磁軌釘道路為工作平臺，在大量的現場實驗基礎上，針對基於磁軌釘導航的車輛車道保持技術中的若干問題展開研究，運用神經網路、模糊邏輯、遺傳演算法等方法在多傳感器信息融合、控制模型等方面進行了系統的研究，主要完成了以下幾方面的工作： （ 1 ）對車道保持系統硬體平臺進行了設計，論述了導航設施? ?磁軌釘的設計過程和車載工控機、步進電機等的選擇。
  4. The control algorithms of reaction temperature, reaction pressure, molecule weight and reaction gas composition are discussed. the application of neural network and fuzzy control is stressed

    主要討論了反應溫度、反應壓力、氣體組分、聚合物分子量主要控制參數的控制策略，探索了神經網路、模糊控制等智能控制方法在烯烴合金共聚反應的應用。
  5. 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。
  6. 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。
  7. Computational intelligence and its application in water conservancy and hydropower engineering ( ph. d. dissertation ) doctoral candidate : xu shigang supervisor : suo lisheng chen shoulun ( hohai university, nanjing, 210098 ) abstract computational intelligence ( ci ) which includes evolutionary computation ( ec ), neural networks ( nn ) and fuzzy system is a new subject developing rapidly

    計算智能包括進化計算、神經網路和模糊理論，是一門正在迅速發展的學科。本文對遺傳演算法、前饋神經網路、自組織特徵映射神經網路及雜合系統進行較為系統的研究，並將成果應用於水利水電工程中，形成了理論、方法與應用研究的完整體系，其主要內容如下： 1
  8. The simulation results show that, the evolution architectures model win the advantage of integrating the research production such as natural language proc essing, fuzzy logic, neural network techniques, artificial intelligent and intelligent deciding methods easily. in other words, it will take full advantage of the operators " subjective value, provide an intelligent assistant deciding environment to all levels managers, and boost the information processing ability and command & deciding levels. those advantages are attributable to that the evolution data fusion architectures are founded on the physical base of anthropic thinking and deciding, i. e., the evolution theory of nervous system

    研究表明，由於直接以人類思維與決策的物理基礎，即神經網路進化的理論為基礎建立數據融合體系結構模型，數據融合系統的進化體系結構更有利於集成諸如自然語言處理、模糊邏輯、神經網路技術、人工智慧和智能決策等方面的研究成果，它可以充分發揮指揮和操作人員的主觀能動性，為各級管理人員提供一個智能化輔佐決策環境，提高復雜網路系統的信息處理能力和指揮決策水平。
  9. In the neural networks control, the structure and the working principle of the cerebella model articulation controller ( cmac ) are discussed firstly, and then based on the mutual supplements and the similarities between fcmac and fuzzy logic, fuzzified cerebella model articulation controller ( fcmac ) is proposed. the learning control system based fcmac are introduced in detail. through the example of fcmac used in the swinging up a pendulum control, the excellent control effects are demonstrated

    在神經網路控制方面，本文主要研究了小腦模型關節控制器（ cmac ） ，並進而根據cmac與模糊邏輯的互補性與相似性，提出了模糊小腦神經網路控制器（ fcamc ） ，詳細討論了fcmac的學習控制系統與fcmac的自學習機理，通過fcamc對倒單擺控制的具體例子表明， fcmac控制具有優良的控制效果和強的魯棒性。
  10. The energy consumption analysis and experiment of the two systems, which are pump - control - motor speed governing system with inverter and hydraulic speed governing system with inlet throttle, are given. software direct compensating motor speed loss of open loop pump - control - motor speed governing system with inverter is studied deeply in theory and experiment. the applications of fuzzy control, single neuron control and genetic algorithm in pump - control - motor speed governing system with inverter are studied, and some useful conclusions are obtained

    所進行的主要研究工作如下：對主要參數對變頻泵控馬達調速系統的性能影響進行了時域模擬分析和開環階躍響應實驗研究；對變頻泵控馬達調速系統和進口節流閥控馬達調速系統進行了能耗分析和對比實驗研究；對軟體直接補償開環變頻泵控馬達調速系統的馬達轉速降落進行了理論分析和實驗研究；對變頻泵控馬達調速系統進行了復合補償控制實驗研究；研究了模糊控制、單神經元控制和遺傳演算法在變頻泵控馬達調速系統中的應用，均得到了有益的結論。
  11. The paper combines artificial neural network, fuzzy inference system, system identification, and does a thorough research on fuzzy - neural network. the research results are as follows : in this paper, we propose a new neuro - fuzzy systems with laplace ( probability density function ) membership function, and proved its universal approximation property by using weierstrass theorem. we get excellent modeling results for nonlinear systems by applying the new neuro - fuzzy model

    本文融合了人工神經網路、模糊推理系統、系統辨識等理論，並圍繞神經網路和模糊推理的結合體? ?模糊神經網路，展開了深入地研究，主要完成了如下研究工作：本文提出一種新型的帶laplace （概率密度函數）型隸屬函數的模糊神經網路模型，並應用微分中值定理和weierstrass定理證明它的通用逼近性。
  12. Trend prediction and fault diagnosis tech., etc. the information intelligent processing technology facing the application is presented as an emphasis. after introducing the development situation and the whole pattern on related fields, this paper describes several algorithm applied in the simulation experiment, including direct multi - steps nonlinear autoregressive - moving average ( narma ) prediction model based on diagonal recurrent neural networks and fuzzy neural networks model based on generalized probability sum ( gps ) and generalized probability product ( gpp ), and lists the algorithm steps facing the application

    作為重點，本文辟用了較大的篇幅討論面向應用（主要是趨勢預測與故障診斷）的集成智能信息處理技術，在介紹相關領域的發展情況和總體格局之後，重點闡述了幾種基於神經網路的智能演算法，包括基於對角遞歸神經網路（ drnn ）的直接多步非線性自回歸滑動平均（ narma ）預測模型，以及基於廣義概率和（ gps ）與廣義概率積（ gpp ）兩種運算元的模糊神經網路模型，給出了它們的詳細演算法及面向應用的運算步驟。
  13. 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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