非預報的 的英文怎麼說

中文拼音 [fēiyùbàode]
非預報的 英文
nonanticipative
  • 非 : Ⅰ名詞1 （錯誤） mistake; wrong; errors 2 （指非洲） short for africa 3 （姓氏） a surname Ⅱ動詞1 ...
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 報 : Ⅰ動詞1 （告知; 報告） report; declare; announce 2 （回答） reply; respond; reciprocate 3 （答謝）...
  • 的 : 4次方是 The fourth power of 2 is direction
  • 預報 : [訊] forecast; forecasting; prediction
  1. It is mainly a faith or ideology with which some actor ( an individual, a group or a nation ), for the purpose of realizing some political, economic, cultural interests suppressed, driven by hatred and retaliative motivation, takes by specific and secret individual or small group unconventional extreme measures which are abrupt and unpredictable, and utilizes every means which is as harmful as possible to the opposite, and often violent enough to endanger the innocent or to massacre with malice aforethought the innocent and lead to huge social panic, to attack the opposite

    它主要是指一定的行為體（個人、團體或國家）為使受到壓制的一定政治、經濟、文化等利益能夠實現，在仇恨和報復性動機的驅使下，通過特定的個人或小集團採用突然的、難以預料的非常規方式，利用一切可能危害對方的、常常是暴力殃及無辜或蓄意濫殺無辜等足以產生巨大社會恐慌效果的手段打擊對方的一種信仰或意識形態。
  2. 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。
  3. The study of nonlinear ballistic trajectory system estimation based on recursion networks

    基於回歸網路的非線性外彈道彈著點預報模擬研究
  4. At present, the better prediction and warning methods of geologic hazards in the world include the phenomenon monitoring method, statistical analysis method, nonlinear system theory prediction method, coupling analysis method of endogenic and exogenic geological processes

    摘要目前國內外較為成功的地質災害預報預警方法可分為現象監測預報法、數理統計預報法、非線性系統論預報法和地球內外動力耦合法。
  5. By using the yearly data of water - sand that is gotten by a couple of adjacent hydrologic station in yellow river lower reaches, this paper makes use of kinds of math methods looking for the nonlinear disturbance among all of the factors, and introduces the thinking of analysis, logic, conclusion, inference, and random to nonlinear hydrologic forecasting. it realizes the valid approximation of the water level process in erodible - bed channel

    本文選擇黃河下游兩對相鄰水文站多年水沙資料，藉助多種數學方法尋找其中的非線性擾動項，將隨機數學中分析、邏輯、歸納、演繹、隨機的思考問題方式引入到非線性水文預報中，實現沖淤河道相應水位過程的有效擬合。
  6. At first, this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level, and collects the corresponding data ; secondly, because there are strong nonlinear relation in the corresponding data, by meticulous theory analysis, this paper integrates basic nonlinear analysis method, theory of random analysis, method of least squares and so on. it puts forward a method which can get the high accuracy simulation of the data, perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly, it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low, and get the high - accuracy simulation about the typical nonlinear relation ; at last, this paper definitudes the main influence mode that the capacity of sand. it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover, this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel

    首先，系統分析了影響黃河水位的水沙因素，及僅用水沙因素有效研究水位的可行性，並按變量對應思想採集它們的相應數據；其次，由於相應水位過程數據中含極強的非線性關系，本論文經細致的理論分析，將基本的非線性分析方法、統計建模方法、隨機分析理論、最小均方誤差原則等等數學理論及方法有機揉合，提出了能有效實現這類數據高精度擬合的分層篩選法，並改進了統計學中多因子（三個以上）方差分析法；再次，將這一方法用於黃河中高及中低含沙類洪水相應水位過程的擬合，實現了這一典型非線性關系的高精度擬合，各年汛期上下游相應洪水位過程的擬合誤差都較小；最後，明確黃河下游含沙量對水位的主要影響方式，即含沙量主要是與其它因素聯合對水位作用；另外分析了要實現變動河床洪水位過程準確預報的困難所在及改進方向。
  7. In this paper matlab and vb are used to build a software which can predict absorption coefficient ' s of the underwater anechoic coatings from these analytical models. finally, some algorithm of the single parameter minimization, nonrestraint nonlinear minimization and restraint minimization in the optimization design theory are studied. the formulas of absorption coefficient of these analytical models are object functions

    本論文利用各種解析模型的聲學設計理論，使用matlab與vb軟體建立了一套水下消聲覆蓋層吸聲系數預報軟體，研究了最優化設計中單參數最小化、無約束非線性最小化和有約束最小化理論的一些演算法，利用現有模型的吸聲系數計算公式作為目標函數，初步優化了一些結構的材料參數。
  8. Adopting high resolution nested grid project and proper physical parameter, a mei - yu heavy rain process during eight july 22, 2002 and eight july 23, 2002 and the meso - b - scale systems alongwith it, were simulated by use of psu / ncar meso - scale nonstatic numerical forecast model mm5 in this paper. the simulation result describes successfully the spatial and temporal distribution of this rain process and the developing course of the concomitant meso - ? - scale systems

    本文利用psu ncar的中尺度非靜力數值預報模式mm5 ，採用高解析度套網格方案和適當的物理過程，對2002年7月22日08時到23日08時的一次強梅雨暴雨過程和伴隨的中-尺度系統進行了數值模擬，結果很好地描述了本次暴雨降水的時空分佈及相伴隨的中-尺度系統的發生發展過程。
  9. According to the least twin multiplication to calculating the sensitivity index in several water production functions. thus, the writer obtains the fitted the value of the sensitivity index and the varied rule. at the same time, the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain

    根據《隨機水文學》理論中的時間序列分析法，建立了適合三江平原井灌水稻需水量預報的非平穩時序隨機模型；通過分析降雨隨機特性，選定季節性時序隨機模型，建立了適合三江平原井灌水稻降雨預報的月平均降雨模型；根據最小二乘法，計算出幾種常用水分生產函數中的敏感指數及敏感系數，進而得到三江平原適宜採用的水分生產函數漠型及模型中敏感指數的變化規律；本文提出遺傳動態規劃法（ raga ? dp ） ，即採用改進的基於實數編碼的加速遺傳演算法（ realcodingbasedacceleratinggeneticalgorithm ，簡稱raga ）與動態規劃法（ dpsa ）相結合，推求非充分灌溉條件下三江平原井灌水稻的最優灌溉制度。
  10. Results of comparison indicate that although some oversea study of the transilient theory succeeded in a degree, if the transilient theory is to be used in model mm4, substantial improvement of the expression of the vertical mixing potential is necessary, or an empirical filter should be applied to ameliorate the result of forecasting

    比較的結果證明，非局地方法若要應用於實際預報，還需要作較大的改進，主要是針對決定過渡矩陣的非局地混合潛勢。目前的過渡矩陣表達方式使物理量在空間的分佈不合理地過于均勻，造成了降水量的減少。
  11. From the contradistinctive forecast in this paper we can see that the method of the dynamic forecast is better than the general method. the method is right, feasible and effective by the proof

    從文中對比預報，我們可以看到本文提出的這種動態系統預報方法優于傳統的預報方法。本文中所研究的氣溫演變過程的非線性預測方法是正確的、經回顧性驗證是可行的，而且是行之有效的。
  12. This paper discuss a modeling and predicting means for nonlinear systems proceeding from nonlinear systems modeling and predicting theory, whch is based on drnn model. this means overcomes the fact that ar model is used only in linear systems, at the same time it connects itself with approximation theory symbolic statistics and conjugate gradient algorithm, and formulate a system of large watercrafts motion modeling and predicting which is based on drnn model, and simulate it

    本論文從非線性系統建模與預報的理論及應用觀點出發，系統地闡述了一類適用於非線性系統的建模預報方法? ?基於drnn模型的建模預報方法，克服了ar模型僅局限於線性的情況，同時結合逼近論、數理統計等知識，運用共軛梯度演算法，提出並建立了基於對角回歸神經網路的大型艦船運動建模預報系統，並進行了模擬。
  13. The precipitation forecast was improved quantitively, the forecasted severe convection area was consistent with the observation, and the spin up was reduced as much as 25 %

    試驗表明，預報的降水場有了相當程度的改善，預報強降水落區與實況非常接近， spinup問題改進了25 。
  14. In terms of practicality, the ability to predict earthquakes is urgent.

    就實際情況來說，如何提高地震預報的水平是非常急迫的問題。
  15. Significance of non - linear dynamic analysis of electroe - cephalogram in the prediction of seizure

    腦電圖動態非線性分析對癲癇發作預報的評估意義
  16. ( 2 ) wavelet networks are introduced to gpc. several nonlinear gpc algorithms based on wavelet networks are given : a nonlinear gpc base on predictive error compensation is designed, in which wavelet network is used to model the predictive error ; a new structure of multi - step predictive controller is constructed in which wavelet networks are used to identified the nonlinear directly ; a single - step predictive controller is given, in which a wavelet networks are used to estimate the parameters of the linear time - varying system. ; an a implicit gpc for nonlinear system is presented, in which wavelet networks are used to estimated the time - varying parameters of the generalized predictive controller

    （ 2 ）將小波網路與非線性廣義預測控制相結合，設計了多種基於小波網路的非線性廣義預測控制：考慮到建模誤差對多步預報的影響，引入小波網路估計預報誤差，對輸出預報進行修正，提高了控制性能且不影響系統的穩定性；利用小波網路構造多步預測器，設討了非線性系統多步預測控制演算法；利用小波網路逼近非線性系統廣義預測控制器的時變參數，設計了非線性系統隱式廣義預測控制器；利用小波網路辨識時變系統參數並直接用於構造控制器，設計了非線性系統單步預測控制演算法。
  17. A study and experiment on severe rainfall with numerical weather forecast in ningxia using geostationary meteorological satellite infrared data in order to improve the ability of torrent rainfall forecast in ningxia, which locates in northwest of china with an arid climate, the relationship between geostationary meteorological satellite infrared data and summer hourly precipitation in ningxia was analyzed, the geostationary meteorological satellite infrared data were applied to retrieve the relative humidity at medium and low layers of atmosphere

    強降水預報是中尺度數值預報的難點之一。為了提高數值預報模式對位於中國西北乾旱地區寧夏的強降水預報能力，本文研究了地球同步氣象衛星紅外資料與寧夏夏季逐時降水的關系。應用地球同步氣象衛星紅外資料，通過優選人工神經網路和最優擬合后的非線性回歸這兩種非線性方法，反演了寧夏自地表到300hpa不同層次的相對濕度。
  18. The result of sensitivity experiment is that adding the proportion of the non - conventional observation properly plays a certain role in improving the numerical prediction

    通過敏感性試驗方案結果表明，適當的增加非常規資料的權重對于預報的改善能起到一定的作用。
  19. As a conclusion the content of this paper is as follow ; l. this paper combines neural netwrk theory with nonlinear systems modeling and predicting theory and brings forward a means that is applicable to noulinear systems

    本文將神經網路理論與非線性系統建模與預報理論相結合，提出了一種適用於非線性系統建模與預報的方法? ?神經網路方法。
  20. Abstract : explained the dann ( dynamic artificial neural network ) in terms of b uilding model and predicting of time series, presented for the first tim e a new kind of dann anhn ( artificial neural holonetwork ) for predict ing the coming trend of nonliner dynamic time series, gave its mathem atical model and its topological construction

    文摘:從時間序列建模與預報的角度討論了動態神經網路，首次提出了一種新的實現非線性動態時間序列預報的動態網路結構全息神經網路，給出了其數學模型和拓撲結構，並將其應用到了機械設備振動烈度值的預測上，取得了令人滿意的效果。
分享友人
分享到 Line

分享到臉書