預報精度 的英文怎麼說

中文拼音 [yùbàojīngdù]
預報精度 英文
forecast accuracy
  • 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）...
  • 精 : Ⅰ形容詞1 （經過提煉或挑選的） refined; picked; choice 2 （完美;最好） perfect; excellent 3 （細）...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 預報 : [訊] forecast; forecasting; prediction
  • 精度 : precision; accuracy; degree of accuracy; precision accuracy; trueness
  1. Study on improving peak flood forecast accuracy with svm model

    提高支持向量機洪水峰值預報精度研究
  2. To limit the predicting precision loss in a certain range, author presented a method of bayes modeling and predicting for dynamic errors based on standard value interpolation at intervals during the multi - step prediction after consulting a lot of papers at home and abroad

    為將預報精度損失控制在一定的范圍之內，作者在查閱了國內外大量相關文獻之後，提出了基於標準量插入的動態測量誤差的貝葉斯建模預報理論，並根據貝葉斯理論給出了預報值的不確定度。
  3. ( 3 ) smg model is not only good at practicability but also information ability due to real time updating, which guarantees the precision of the model forecasts. and no matter what stage is, calibration or verification, and what kinds of runoff situation, most plentiful runoff or most shortage, very close forecast precision in each case is obtained

    （ 3 ） smg模型不但實用而且可以進行實時的修正，使其預報精度能夠得到較好的保證，且不論在率定期、還是在檢驗期、不論對特豐徑流預報，還是對特枯徑流預報，他們的精度都比較接近，說明模型具有一定的泛化性。
  4. Subject : research on flood forecasting of shuicheng reserior after a research on soil condition of yunan province, this paper presents an advanced xin " anjiang model based on classical xin " anjiang model

    本文在傳統預報模型的基礎上，通過對雲南地區水文情況的研究，提出改進新安江模型。該改進模型水源劃分更加合理，預報精度得到提高。
  5. Being a black - box model, ann model gets rid of some classical defects of white - box model, longer the system runs, more precise the system will be

    該模型克服了白盒子模型的典型缺點，預報精度隨著運行時間的增加不斷提高。
  6. The comparison shows that the method is feasible and the prediction by this method is preciser than the tide table

    將預報結果和潮汐表比較，結果表明，此方法可行，預報精度比潮汐表略有提高。
  7. Examples show that the suggested model can reflect the extreme trend of recorded annual runoff dynamic variation with satisfactory simulation and predicting precision

    實例研究表明，灰色自記憶模型能很好地反映動態數據序列的極值趨勢，且具有較滿意的擬合及預報精度。
  8. The system possesses the real time correcting function, which can avoid error accumulation and highly increase the forecasting accuracy ; ( 3 ) the flood control system can be multiple - scheme designed, that is, the control schemes can be designed in terms of different control ways for hydro - projects. simulated computation can be carried out to obtain multiple schemes that can be used by the leaders for decision making after risk and consequences estimation, so as to scientifically enhance th

    系統具有實時校正功能，可以避免誤差累積，極大地提高了預報精度; （ 3 ）防洪調度系統可以進行多方案設計，即可以根據水工建築物不同的調度方式來設計調度方案，並進行模擬調度計算，最終生成多個方案，供領導決策，提高了防洪決策的科學性; （ 4 ）系統採用的數據均建立在實時雨情、水情、工情和天氣預報等數據庫基礎上，預報、調度均能做到快速及時。
  9. According to the special characters of a multi - roll cold tandem mill, a rolling force prediction model based on fuzzy algorithm and cerebellum model articulation controller ( cmac ) combined with the traditional model was designed to improve the precision of rolling force prediction

    摘要針對寬帶鋼多輥冷連軋機組特點，為提高軋制力的預報精度，在結合傳統軋制壓力模型的基礎上把模糊演算法和神經網路有機結合，設計出基於模糊小腦模型神經網路的多輥冷連軋機軋制力預報模型。
  10. Evidence suggests that the prognostic ability of the new model with high stability, when hidden nodes changing nearby input nodes and training times changing at the certain extent, is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information, properly utilizing the ability of ann self - adaptive learning and nonlinear mapping. but the linear regression technique only selects several predictors by the f value, many predictors information with high relative coefficients is not included. so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields

    進一步深入分析研究發現，本文提出的這種基於主成分的神經網路預報模型，預報精度明顯高於傳統的逐步回歸方法，其主要原因是這種新的預報模型集中了眾多預報因子的預報信息，並有效地利用了人工神經網路方法的自組織和自適應的非線性映射能力；而傳統的逐步回歸方法是一種線性方法，並且逐步回歸方法只是根據f值大小從眾多預報因子中選取幾個預報因子，其餘預報因子的預報信息被舍棄。
  11. Then the paper develop a refrigerant model by means of traditional bp algorithm 、 statistics theory 、 experience theory and thoroughly analyze the combination of these three methods and their predict precision. and then the paper put forward an advanced algorithm on the basis of combining the statistics theory and the problems on the traditional bp algorithm. the imitate results show that the algorithm has an ability of fast convergence speed and

    然後分別應用傳統bp演算法、全量法和增量法建立冷卻劑子模型，對三者的擬合和預報精度作了深入分析，並結合統計學習理論針對傳統的bp演算法存在的問題提出了改進的演算法。模擬結果表明該演算法具有較快的收斂速度和較強的學習能力。
  12. In light of the problem of the precision of flood forecasting being influenced by the data errors of rainfall and water stage caused by the failures of the communication and the relevant equipments of the gauging stations concerned, the techniques for the automatic hydrologic data collection and transmission system such as data extraction, examination of rationality, error identification, rainfall interpolation and the intelligent error correction are studied based on the analysis on the cause of the errors occurred in the system

    摘要針對流域洪水預報和水庫調度中雨量水位站點可能因通信和設備故障引起雨量和水位數據錯誤，而影響洪水預報精度的問題，通過分析水文遙測系統雨水情信息錯誤的原因，研究水文遙測系統雨水情數據的提取、合理性檢驗、錯誤識別方法、雨量插補、數據的智能化糾錯處理等技術。
  13. The standard form of each function and the method of a non - linear function changed into linear one are shown. the forecast models and synthetic evaluation models for the land use are built by unified regression statistical analysis models. the reliability for forecast result and forecast precision are given

    本文概述了一元回歸統計分析模型的幾種常見類型，給出了各種函數的曲線標準形式和將非線性問題線性化的方法；建立了土地利用的一元回歸分析的預報模型，並對預報結果及預報精度給出置信度分析。
  14. The progress case of theory and application investigation of this method is introduced and improved

    由於它充分考慮了系統的時變的特性，因此大大地提高了預報精度。
  15. In the end the predicting model is used in watercraft motion modeling and predicting, and the auhor analyzes the result of simulating. the result indicates that this ap $ j $ ifgx9 @ 1 % & itx means is reasonable and feasible and gains the satsfactory pmpose

    最後將此模型應用於艦船縱搖運動的極短期預報，並從統計理論的角度對模擬結果進行了分析，分析結果表明該方法是合理可行的，確實提高了預報精度，加長了預報時間。
  16. To overcome the difficulty in determining the rbf center numbers and spread, a kind of generalized genetic algorithm is introduced, which follows the analysis of the basic rules of genetic algorithm. the new hybrid algorithm determines the center numbers and spread adaptively to reach the optimal tradeoff between the training accuracy and the generalization, so it increases the prediction accuracy of the model

    針對建模過程中出現的rbf中心和寬度難以確定的難點，在分析遺傳演算法機理和基本演算法的基礎上，提出了使用廣義遺傳演算法對rbf神經網路模型的中心和寬度進行自適應選擇，從而達到模型訓練精度和范化能力的一個最優的平衡，從而提高模型的預報精度。
  17. Because the complexity of ice evolvement and it was late to start studying river ice in our country, now the freeze - up forecasting precision ca n ' t satisfy the need of preventing ice flood and the freeze - up formula of every reaches is different, being not all - purpose

    由於冰凌演變的復雜性及我國冰情研究起步較晚，現在的預報精度尚不能滿足防凌需要，且各河段封河預報公式不同，沒有通用性。
  18. ( 6 ) dividing catchment into subbasin according to physiographic characteristics of the catchment and inputting information which well represents current situation is a very effective method in increasing forecast precision for all the systematic models mentioned

    （ 6 ）不論何種模型，進行合理的分區和準確的信息輸入都是提高模型預報精度的一個有效的方法。
  19. We can expediently rapidly make forecast with it. the system was finished in 1997, and it got racin cup of the job forecast on the national hydrologic forecast technology race on 12, 1997

    該系統採用了傳統的預報方法與現代計算機技術相結合的方法，能夠方便、快捷地作出預報，預報精度和有效預見期都有所提高，並為長江上游作業預報系統的編制積累了寶貴的經驗。
  20. Mm5 adjoint - model assimilation system not only can improve the initial field effectively and promote the coordination with the model but also can enhance the forecast on the precipitation and other elements. the assimilation of cdw has an improvement on quality of upper wind. the effect of direct numerical simulation with utilizing the cdw to amend the initial field gains the advantage over the one not

    結果表明， mm5伴隨模式同化系統能有效改善初始場與模式的協調能力，提高模式對于降水場和其它要素場的預報；使用雲導風資料修正初始場后直接模擬的效果比未使用時直接模擬的效果要好，對部分區域的強降水預報精度有一定程度的改善；使用伴隨模式同化系統后，加入雲導風資料的同化試驗對其它要素的改善與直接同化常規資料的效果相比，改善優勢不明顯，但從各要素的誤差來看，對于風場的改善最好。
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