未知對象 的英文怎麼說
中文拼音 [wèizhīduìxiàng]
未知對象
英文
unknown object-
Starting with the astronomic factors which induce the tide phenomenon, this paper introduces a method of nonharmonic analysis neural network to predict tide, and this method is used to calculate the real tide of 2002 at hongkong tide station and the result are compared to the observed data
摘要文章運用非調和法，直接從引起潮汐現象的天文因素入手，以2002年香港驗潮站實測資料為例，用神經網路對潮汐知識進行了學習模擬，對未知結果進行了預報。In the city wall of xi ' an, it is the area that protect relatively weak, develop and utilize most abundant, question most conspicuous at present in the thesis, i take the ming moat and its surroundings to concrete research object, research into its historical development, its protect current situation and its ecological function from the two aspects of the protection of cultural heritage and the urban ecological environment construction. after deep investigation and analyses of relevant instance, i put forth some suggestions about protective measure, ecological environment construction, planning management etc. finally the article advises to apply for culture heritage of the world with the units of city wall of xi ' an, bell tower, drum tower, big wild goose pagoda, and small wild goose pagoda etc, which have been listed among the major protected unit of historical relics at national level
本文選取護城河及其環境為具體研究對象，從世界文化遺產保護、城市生態環境建設兩個角度入手，通過歷史演變與改造歷程追溯、保護現狀調查、生態職能建設三個方面對其進行了重點、深入的調查與分析，最後根據評析的結論以及相關實例借鑒，對未來西安明城護城河及其環境的認知定位、保護措施、生態環境建設、規劃管理等工作提出了一些具體意見，最後建議將西安明城墻、鐘鼓樓、大小雁塔等國家重點文物保護單位捆綁申請世界文化遺產。To search proteins that associate with the mouse mint protein and regulate notch signaling in nuclei, and to study the function and mechanism of mint - mediated transcription repression, yeast two - hybrid assay was used to screen proteins that interact with a fragment of mint ( f5, amino acids 2226 - 2959 ). from 4x106 yeast clones transformed with the bait plasmid and a cdna library of 9 dpc mouse embryo, fifty - one were positive for nutritional screening and p - galactosidase assay. restriction digestion identified 10 independent positive clones and these were analyzed by dna sequencing these clones represent 3 correctly fused cdna fragments, which are mint, alpha a - crystallin - binding protein i ( alphaa - crybpl ), and nuclear receptor co - repressor 1 ( n - corl ), respectively
鑒于mwt基因編碼區較長，共有10799個堿基，故此我們將mint分為六段，分別命名為fi一f6 ，本研究以其中的f5 （ 222e959 ）和f6 （ 296s576 ）片段為研究對象，將h者分別插入pgb盯7載體中，結果顯示： mintfs可與核受體輔助抑制因子1階cori ） ， o晶狀體蛋白結合蛋白1hlphatcrybp入及mw加互作用，而f6可與igm的重鏈恆定區、泛素結合酶2l6和一個未知功能的新的蛋白基因進行結合。Although there were various funeral ways and numerous funeral customs, they factually existed as a symbol system reflecting people ' s ideas and concept to the known and unknown world
盡管葬法多種多樣，葬俗百態紛呈，但它實際上始終是作為一個象徵系統而存在，反映著人們對已知和未知世界的觀念和看法。First, it applies fuzzy logical in the abstract and non - linear dealing ability ; second, it applies neural net in the self - study and any functions approaching ability ? through combining above two ability, it can find a best p i d non - linear controlling regularity and achieve controlling on line of the unknown subject etco therefore, it not only can strengthen robust and intelligence of the system, but also make design simple and easily be requiredo in addition, the thesis also does many works on procedure of upper - computer and basic - controller and the whole system designed can be put into work immediately
根據啤酒發酵過程具有大慣性、時滯和非線性等特點，本論文還提出一種基於神經網路的模糊自適應pid控制方案，它一方面利用模糊邏輯的「概念」抽象能力和非線性處理能力，另一方面利用神經網路的自學習能力和任意函數的逼近能力，通過兩者的有機結合尋找一個最佳的p 、 i 、 d非線性組合控制規律，以實現對未知對象進行在線控制，並具備適應控制環境變化的能力和自學習能力等。Try to save the lives of passengers at the accident site, set up a camp, learn to live among the rest of the group, explore the jungle, hunt, witness unexplained phenomena, and avoid the bizarre traps scattered around this hostile environment
盡力搶救事故現場倖存的乘客，建起營帳，學會群體生活，打獵，遇見未知的現象，和躲避散落在這敵對環境里的離奇陷阱。It seems only right thinking person not the demarcation of the " yin and yang, " observation and cognitive thinking is the two sides, in other words, modern science and technology and the development of the material world, constantly using known explore the unknown and reveal more about the universe. the movement of things, changes in the law governing the development of the rigorous logic on the basis of the material is the primary, is " utter eyes " looking at the world ; ancient book of changes ( including confucianism, taoism and buddhism ) were " close their eyes when " looking at the world. from the phenomenon of earth grounding into inferred, mainly awareness ( ideas ) initiative reflects the superb, " consciousness " of the primary
好象唯獨對人的思維形式沒有劃分「陰陽」 ，觀察與思考是認知的兩個方面，換句話說，現代科學技術的發展，是在物質世界里，不斷藉助已知探索未知，更多地揭示宇宙、事物運動、變化、發展的規律，是建立在嚴謹的邏輯思維的基礎上的，是物質第一性的，可謂「睜著眼睛」看世界的；古代易學（包括儒、道、釋）主要是「閉著眼睛」看世界的，是從天地人的現象體悟歸納推演的，主要是意識（意念）能動性的高超反映，是「意識」第一性的。Zong on indicate, contain hysteresis on industry, nonlinear and complex control object, usually melt with intelligence control method can get than the pid control of tradition better control effect, natural, for compare accurate mathematics somewhat object, control still with the method of tradition effect ripen more some, but for too complex unknown system, have state method can get the control result of ideal
綜上所述，對于工業上含有滯后，非線性和復雜的控制對象，通常採用智能化的控制方法能獲得比傳統的pid控制更好的控制效果，當然，對於一些比較精確的數學對象來說，還是用傳統的方法進行控制的效果更成熟一些，但對于過于復雜的未知的系統來說，用上述的方法會獲得理想的控制結果。In chapter one, we propose a new mixed method called characteristics mixed finite element method for a convection - dominated diffusion problems with small parameter e : we handle the convection part whth backward difference scheme along the characteristics, obtain much smaller time - trunction errors and avoid numerical dispersion on the front of the peak curve of the flow : we use a lowest order mixed finite element method to deal with the diffusion part, so this scheme can approximate the unknow function and its following vector with high accuracy at the same time
第一章中我們對小參數對流占優擴散問題提出了新的數值方法? ?特徵混合有限元方法，即對方程的對流部分採用沿特徵線的後退差分格式求解，以保證較小的截斷誤差限並避免了在流動的鋒線前沿數值彌散現象的出現；對流動的擴散部分採用最低次混合元方法求解，以保證格式對未知函數及伴隨向量的同時高精度逼近。由於該方法中檢驗函數可取分片常數，此格式在某種意義上具有局部守恆性質。Object does not indicate the reason why changing the password failed, only that the password was not changed
對象並不提供更改密碼失敗的原因，僅告知密碼未被更改。The trials of some nonmonotonic nonlinear system identification using genetic programming are made under the assumption that neither the structure nor the parameters are known. first, it is carried out under the condition that the parameters are constant
在假定該對象的結構及參數未知的條件下，首先對該非線性反饋部分參數恆定的情況進行辨識，其次試驗了非線性環節參數變化情況下的辨識。Provides data for the known, but unreferenced, object found in an encoded soap xml stream during deserialization
在反序列化期間，為在編碼的soap xml流中找到的已知的（但未引用的）對象提供數據。The characteristic approximation is used to handle the convection part along the direc - tion of fluid namely characteristic direction to ensure the high stability of the method in approximating the sharp fronts and reduce the numerical diffusion ; the mixed finite element spatial approximation is employed to deal with diffusion part and approximate the scalar unknown and the adjoint vector function optimally and simultaneously ; in order to preserve the integral conservation of the method, we introduce the modified characteristic method
該方法對方程的對流部分沿流體流動的方向即特徵方向離散以保證格式在流動的鋒線前沿逼近的高穩定性，消除數值彌散現象；對方程的擴散部分採用最低次混合有限元方法離散、同時以高精度逼近未知函數及未知函數的梯度；為保證方法的整體守恆性，在格式中引入修正項The new method is a combination of characteristic approximation to handle the convection part, to ensure the high stability of the method in approximating the sharp fronts and reduce the numerical diffusion, a smaller time truncation is gained at the same time, and a mixed finite element spatial approximation to deal with the diffusion part, the sealer unknown and the adjoint vector function are approximated optimally and simultaneously
此方法即為對方程的對流項沿流體流動的方向即特徵方向進行離散，從而保證格式在流動鋒線前沿逼近的高穩定性，消除了數值彌散現象，並得到了較小的時間截斷誤差；另一方面，對方程的擴散項採用混合元離散，可同時高精度逼近未知函數及其伴隨向量函數，理論分析表明，此方法是穩定的，具有最優的l ~ 2逼近精度。In this paper multilayer feedforward networks is used to design the nonlinear flight control systems, including the systems identification and control. the main contribution and creativeness result of this dissertation are summarized as follows : firstly, the basic theory of feedforward neural networks is reviewed. and this paper summarized the identification and control methods of nonlinear based on neural networks
本文以某特定飛行器縱向運動非線性系統為被控對象，主要是針對系統中的非線性和未知因素，研究了前向神經網路（ bp網路）在非線性飛行控制系統中的應用，並進行了大量的模擬驗證，主要完成了以下工作： 1The main contents include three parts : in the first part, the minimum phase systems with unmodeled dynamics and disturbances in the input - output channel are studied
主要內容有三部分：第一部分研究已建模部分為最小相位，但系統線性部分參數未知的被控對象However, when the plant has uncertain parameters or the variant gain coefficient of iterative leaning control, the present method has some defects, such as lipschitz continuity of nonlinear function and the dependence of convergence analysis on actually unknown ideal input
但當被控對象含有不確定的參數或迭代學習控制律的增益系數時變時，現有的方法存在很大缺陷，如要求非線性項滿足lipschitz連續性，控制律的收斂性分析依賴于實際上是未知的理想輸入，初值重置問題等。Data mining is the key step of kdd, which concerns on database, artificial intelligence, and statistics, etc. classification is the important content of data mining, which assigns dataitems in databases to a special class by constructing a classification function or model ( also be called classifier ). therefore, we can predict the unlabelled object classes with the classification model
分類是數據挖掘的一個重要內容，它通過構造一個分類函數或分類模型（也常稱作分類器） ，把數據庫中的數據項映射到給定類別中的某一個，從而能夠使用該模型來預測類標號未知的對象類。Wireless sensor network ( wsn ) is a wireless network which composed of in a special method, the target of wsn is to cooperative sense 、 collect and process the information of sense object in a network coverage area, then send to the observer, wireless sensor network get together with utility computing, plastic electronics and bionics is considered as four high - tech industries in the future around the world
無線傳感器網路是由一組傳感器以特定方式構成的無線網路，其目的是協作地感知、採集和處理網路覆蓋的地理區域中感知對象的信息，並發布給觀察者，無線傳感器網路與效用計算、塑料電子、人體仿生一起被認為是全球未來四大高技術產業。Classification is an important sub - branch of data mining, which can find out a model describing a predetermined set of data classes or concepts as used to predict the class label for a test sample
分類是數據挖掘的一個重要分支，分類能找出描述數據類或概念的模型（或函數） ，以便能使用模型預測類標記未知的對象類。分享友人