自學習 的英文怎麼說

中文拼音 [zìxuéxí]
自學習 英文
self learning
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  1. The anticipant control curve approximating strategy and corresponding self - learning strategy are submitted and implemented very well. the result of expert control in three - tank liquid level equipment and three - zone high temperature furnace is satisfying

    提出了期望曲線逼近策略及相應的自學習機制，並在專家控制器中得到較好的實現，在對三容水槽和三溫區高溫加熱爐實施的專家控制中得到了較好的控制效果。
  2. It can auto - tune, so locale debug is convenient

    具有自學習能力，現場調試方便。
  3. The experimental results show that the system constructed by this method has the virtues of robustness, flexibility, explicable ability and self - study capability, since the new method has got both the merits of expert system and of neural network

    實驗結果表明，混合型專家系統既具有專家系統靈活性、解釋性的特點，又具有神經網路魯棒性、自學習能力的特點，因此非常適合用於企業信用評價，具有廣泛的應用前景。
  4. The urban traffic trunk is regarded as a large system, and the subsystems are the intersections in the trunk. then we desipi a two - level coordinated fuzzy control method and use ann to implement the fuzzification, fuzzy inference and defuzzification. the arithmetic homs the strongly self - adapt, self - learning and fault - tolerant function

    3 ）把城市交通干線作為一個大系統，子系統為干線上的各個交叉口，在此基礎上，設計了一種城市交通干線的兩級模糊協調控制演算法，並用bp神經網路實現控制器的模糊化、模糊推理和清晰化三個部分，系統具有較強的自適應、自學習和容錯性。
  5. Edm has some remarkable advantages over traditional models, includes using implicit causal models, self - learning capacity, weak dependence on domain knowledge, wide applicability, robustness, self - adaptability, and population - based searching, etc. tracing back its intrinsical ideas, edm is just making use of the nature ' s decision making strategy, natural selection, to solve the decision making problems faced by human or the intelligent agents

    進化決策主要利用了進化演算法與形式化計算模型相結合所具備的自動建模能力，它具有隱式因果模型、自學習、弱知識依賴、應用廣泛、穩健性、自適應和群體搜索等優勢。追根溯源，進化決策的基本思想正是利用大自然的決策機制（自然選擇）來解決客觀世界所提出的決策問題，而自然進化又是已知的能力最強的問題求解范型。
  6. Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks

    由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。
  7. Then, the change of the pressure of the concrete in the pipage is studied. lastly, the pressure losing and the error of the routine measure are discussed. chapter three discusses the fussy self - study issues based on the concrete technology the first section expounds the basic fuzzy self - study theory

    首先介紹泵送混凝土的流動特徵，接著研究泵送混凝土在輸送管中泵送壓力的變化，並分析影響泵送壓力損失的因素，從而討論常規計量方法的缺陷第三章主要是針對前章理論模型應用模糊自學習技術。
  8. A further study of the dynamic weighing and batching process is made and an iteration self - learning control method is used to dynamic weighing and batching process control. the simulation tests are made and satisfied performances are reached. 4

    對動態稱量配料的受控過程作了進一步的研究，將迭代自學習的控制方法應用於動態稱量配料過程式控制制，進行了控制系統的設計和計算機模擬實驗研究。
  9. According to the specifications of the dynamic weighing and batching process control in concrete batching plants, the iteration self - learning control method is applied for a real work. a weighing and batching computer control system of concrete batching plants is made, which includes hardware and software

    針對混凝土攪拌裝置的稱量配料控制要求，將迭代自學習的控制方法應用於實際工程中，進行了混凝土攪拌裝置的稱量配料計算機控制系統的設計，包括硬體和軟體。
  10. The innovations of this thesis can be summarized into three points. firstly, the average relative velocity is introducd into a novel adptive weighted clustering algorithm as one important parameter of weight, then it increases the stability and self - adaptability of cluster head. secondly, a new approach to calculating weight is suggested by integrating subjective and objective factors. it is verified by comparison with other approaches to selecting weight. thus the velocity of weight responding to the changes of network topology is increased. finally, using a som neural network to create a classifying model enables every node to learn to identify by itself the role in manet

    本文的創新點有三個:首先本文在wca和aow分簇演算法的基礎上，引入了平均相對移動速度作為權值重要的參數，提出了一種新的基於權值的自適應分簇演算法，提高了簇頭在移動中的穩定性和自適應性;其次，提出了利用主客觀綜合賦權法確定權重的權值計算方法，通過與其他權重選擇方法比較，網路結構變化的權值響應速度得到了改進;最後，論文利用自組織特徵映射神經網路建立分類模型，使得網路中的節點可以自學習地確定簇中角色。
  11. Aero - engine multivariable learning fuzzy decouple control

    航空發動機多變量自學習模糊解耦控制
  12. On the basis of introducing the theory of fuzzy control ( fc ) and neural network ( nn ) as a whole, this paper presented a new mixed control method, which was called as neural network - fuzzy control. ( nn - fc ). the nn - fc method combined the strong self - study ability of neural network and powerful experience - expressing ability of fuzzy control to meet the need of real - time control

    在系統地介紹智能控制理論中的模糊控制和神經網路控制理論之後，引入了模糊控制和神經網路控制相結合的產物? ?神經模糊控制，將模糊邏輯推理的強大結構性知識表達能力與神經網路的強大自學習能力集於一體，彌補了模糊控制需要系統先驗知識且缺乏自學習功能的不足。
  13. Compare to common model based on the flux analysis, this model describe the traffic network more reality. moreover, the efficiency and characteristic enable the result of optimization more precision and fleetly

    與基於流量分析的交通模型相比，該模型更加準確的描述了真實交通網路的運行情況，而遺傳演算法的自組織性和自學習性保證了優化過程的高效性。
  14. The design of fuzzy pid controller is simple and easy, as comparied with general parameter adaptation, it has strong adaptation and robust ness, and furthermore precision

    從模糊控制的自學習演算法模擬來看，自學習模糊控制演算法，具有良好的控制效果和發展應用前景。
  15. To verify the effectiveness of the proposed hybrid fnn, this thesis addressed the estimation problem for the frozen point of light cyclic oil in a fluidized catalytic cracking unit ( fccu ) in a refinery. based on the sample data collected from the industrial unit, we built a soft sensor model by using an above hybrid fnn

    最後，針對某煉油廠催化裂化裝置主分餾塔輕柴油凝固點的軟測量估計問題，本文基於工業現場所採集的樣本數據，建立了混合結構神經網路模型，並討論該模型的在線自學習問題，同時與多層前向bp網路、徑向基函數rbf網路模型進行了比較。
  16. Based on cognition theory and information technology, the paper build a simulated brain model to aid creative design by integrated artificial intelligent, expert system, fuzzy logic, and knowledge mining based on database over internet. the brain model including a memory structure to save information and knowledge, and a thought strategy with some certain levels to guide activities, therefore, the intelligent activities such as learning, problem - solving and creative design could be treated as the process that utility memory in control of thought strategy

    人腦模型體系包括了在思維策略控制下的學習、設計問題解決、創新等活動，並以語義網路與神經網路結合研究並實現了知識記憶結構，在此基礎上研究了產品構成知識的生成技術，使模型可方便實現自學習、自組織、聯想存貯等特性。
  17. In this dissertation, two kinds of optimization, methods are proposed. firstly, only these linking weights corresponding to the control rules that affect the control performance significantly are updated in order to reduce the compute works and speed up the training progress. secondly, the updating step is adjusted adaptively in accordance with the error and the change of error of the system based on the t - s model to get better performance

    針對模糊神經網路控制器一般存在著在線權值調整計算量大、訓練時間長、過度修正權值可能導致系統劇烈振蕩等缺點，提出了兩種模糊神經網路控制器的優化方法：在線自學習過程中僅對控制性能影響大的控制規則相關的權值進行修正，以減小計算量，加快訓練速度；基於t - s模糊模型，根據偏差及偏差變化率大小動態自適應調節權值修正步長，抑制控制器輸出的劇烈變化，避免系統發生劇烈振蕩。
  18. Even students who don ' t have a private study area remain organized

    即使沒有獨自學習空間的學生也要有條有理。
  19. In the field of application of fault diagnosis with mese, using short signal analysis technology can get characteristics vector of faults. then fuzzy reasoning and neural networks are used to construct fault diagnosis system. the fault diagnosis system analyses the characteristic vector by self - learning

    在故障診斷領域的應用研究方面，將的簡訊號最大熵譜分析與模糊推理、神經網路技術相結合，採用模糊神經網路對最大熵譜分析得到的特徵向量進行自學習的模糊推理，能夠準備識別故障類型。
  20. It possesses not only the self - learning ability and adaptability, but also the function of self - adjusting factors. based on fuzzy set, neural network theory, the fuzzy control model and fuzzy neural network control model of multi variable system are presented. based on the automatic core - welding line of shop floor control system in yangzhou radiator plant computer integrated manufacturing system ( ys - cims / sfcs ), the fuzzy logic theory was applied to the controlling device and established the main heating room fuzzy temperature controller and finally was put into practical use

    本文採用了基於神經網路技術的智能pid控制策略，設計了一類具有自學習和自調整比例因子功能的神經元網路自適應pid控制器的結構及演算法；為解決結構不確定性的復雜多變量系統的控制，基於模糊集及模糊系統、神經網路理論，建立了多變量系統的模糊控制模型及模糊神經網路控制模型；針對揚州水箱廠計算機集成製造系統車間管理與控制系統（ ys - cims sfcs ）中的實際工程問題，設計和開發了散熱器芯子烘焊自動線主烘腔溫度模糊控制器，解決了生產中長期存在的老大難問題，提高了產品質量，降低了單產能耗。
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