propagation forecasting 中文意思是什麼
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According to all the sediment peaks of 35 floods observed at each station on the downstream of xiaolangdi, it analyzes the characteristic of delayed sediment peak and establishes a regression equation between sediment peak lag time for each section of xiaolangdi, huayuankou, jiahetan, gaocun, sunkou, aishan and lijin and peak discharge, sediment concentration of the peak, flood propagation velocity and fall velocity of suspended load of the previous station, which can search, make up and extend sediment peak lag time and provide a basis for accurate forecasting on sediment peak travel time of each station on the lower yellow river
根據小浪底下游各站沙峰均滯後於洪峰的35場洪水，對沙峰滯後於洪峰的特性進行了剖析，建立了小浪底、花園口、夾河灘、高村、孫口、艾山、利津各河段沙峰滯后時間與上站洪峰流量、沙峰含沙量、洪水傳播速度、懸移質泥沙群體沉速之間的回歸方程，可以用來查補延長沙峰滯后時間，為下游各站沙峰傳播時間的準確預報提供依據。 -
In order to utilize the frquency resource adequately and increase the capacity of mobile communication system, the wireless electric wave propagation of existing mobile system always adopts the microcell structure. forecasting the path loss characteristic of electric wave accurately can provide the necessary condition for the layout and design of wireless network, at the same time it is a precondition for the research on the microcell mobile system. the methods of forecasting of wireless electric wave propagation can divide into two parts : one is pluse and respond, that is establish the empirical model based on experimental and statistical data ; the other is ray tracing method, that is establish the deterministic model based on theoretical analyse. the paper discuss the characteristic of wireless signal electric wave transmition in symmetrical atmosphere of earth, and introduce the common path loss transmition model in land mobile communication system, also point out the localization of these models based on experiential methods
而精確預測無線電波傳播路徑損耗特性，則為合理的微蜂窩無線網路規劃、設計提供了必要條件，同時也是研究微蜂窩移動通信系統性能的前提。無線電波傳播預測的方法分為兩類：一是用沖激響應法，即根據實驗、統計所得數據建立經驗性傳播預測模型；另一種是用射線跟蹤方法，即依據理論分析來建立確定性的傳播預測模型。本文首先討論了在地球表面均勻大氣中的無線電波傳播的基本特性，介紹了陸地移動通信系統中常用的幾種電波傳播路徑損耗經驗性預測模型，並指出了這些經驗性傳播模型對于微蜂窩小區無線電波傳播特性研究的局限性。 -
Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given
本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。 -
Based on the historical space forecast data and corresponding actual data provided by a global semiconductor assembly and test company, the uncertainty of space planning was defined. during this analysis process, linear regression, grey prediction, neural network back propagation algorithm and confidence interval were applied, respectively, to define the uncertainty. compared with those methods, the confidence interval of historical space forecast error, calculated by mathematical statistics, was the reasonable method to define the space forecasting uncertainty
本文從半導體工廠長期生產能力計劃的頂層即廠房生產面積的計劃展開，對一跨國半導體封裝測試公司提供的廠房生產面積的長期歷史預測數據以及對應的真實數據進行分析，採用線性回歸，灰預測，神經網路bp演算法，基於數理統計的置信區間的求解等方法分別定義廠房生產面積預測的不確定度，經多種方法的比較得出，基於數理統計方法求解出的生產面積歷史預測誤差置信區間能直觀清楚地標定不確定度。 -
The living example certification indicates that the neural networks model of this paper possesses the good convergence with the error back - propagation algorithm, and can pledge the satisfactory mapping precision, and gain the forecasting result of ideal, and provides the reliable basis for the policy decision
實例驗證表明本文的神經網路模型用誤差反向傳播演算法具有良好的收斂性，能夠保證滿意的映射精度，取得了理想的預測結果，為決策提供了可靠的依據。 -
Firstly, the paper analyzes the type, characteristic, manifest and reason of the commercial bank ' s risk in its running. secondly, based upon the further analysis of the traditional alertness - forecasting methods, put forward the methods used in the thesis combined by fuzzy mathematics theory and back propagation nn technique, and analyze the feasibility and advantages of the application of this method into the construction of commercial bank alertness - forecasting system. thirdly, apply the method combined quantitative with qualitative analysis, as well as theoretic analysis with positive study to establish an easily operated index system of the commercial bank ' s risk and find a perfect alertness - forecasting method, furthermore, to establish an alertness - forecasting system in order to control and manage the commercial bank ' s risk
本文首先對我國商業銀行進行了風險識別，深入分析了商業銀行在其運行過程中存在的風險類型、特點、表現及其致因；其次，在對傳統預警方法深入分析的基礎上，提出了本文所採用的模糊數學理論和bp神經網路技術相結合的預警方法，並分析了將本文的預警方法運用於商業銀行風險預警系統構建的可行性和優越性；再次，本文運用定量分析和定性分析相結合、規范分析和實證研究相結合的方法，構造出一套比較能反映商業銀行風險的指標體系，尋求了一種比較理想的預警方法，進而設計出商業銀行風險預警系統，並進行了實證分析，以達到對商業銀行風險進行實時監控的目的；最後，筆者對本文的研究成果進行了總結。 -
Rtce is based on forecasting the inherent vulnerabilities to propagation of hf time - varying channel, including multipath delay, doppler spread, selective fading, interference, so this paper also introduces characteristics of hf channel in the beginning. familiar rtce systems all adopt envelope method that bello brought forward
實時選頻技術是基於對短波電離層時變通道固有的不利於電波傳播的各種因素，包括通道的多徑展寬、多普勒展寬、選擇性衰落、噪聲干擾等的預測的基礎上實現的，所以在開篇對短波通道的特點進行了詳細的介紹。 -
Realizing the application of the empirical mode decomposition in the instantaneous characters extraction of the non - linear and non - stationary signals. in the meanwhile, it has proved that it is feasible to realize the similar pattern matching of the stocks " forecasting, if the empirical mode decomposition and the forward propagation learning algorithm of multi layered neural networks with feed back connections are related
實現了經驗模態分解方法在非線性和非穩態信號瞬時特徵提取中的應用；同時利用實驗數據證明了經驗模態分解方法與多層反饋神經網路fp演算法相結合，來完成股票數據預測中的相似模式匹配的可行性。 -
Research on retrieval of gps water vapor and method of rainfall forecast are keen field which draws all attention from wide world. the dissertation is accomplished on the basis of sino - italy collaborative project - ' the integral system of flood risk programming, monitoring and real time forecasting " and the primary achievements and conclusion reached include : ( 1 ) a reasonable design has been made for gps water vapor monitoring network according to the theory of gps satellite signal propagation and vertical distribution of water vapor and local synoptic characteristic of binjiang basin, the effective area where water vapor can be detected by gps station has been determined under different cut - off angles. the conclusion has been reached that 3 ~ 4 gps receivers are enough for water vapor monitoring in binjiang basin
Gps水汽反演和降雨預報研究是當前氣象遙感應用的一個前沿探索領域，本論文依託于中意科技合作項目「洪水風險規劃、監測和實時預報的集成系統」 ，主要成果體現在以下方面： （ 1 ）提出了一個合理的gps水汽監測網設計方案根據gps衛星信號傳播原理和水汽垂直分佈規律以及流域天氣的地方性特徵，確定了不同高度截角下一個gps站所能測定大氣水汽含量的有效范圍，得出了濱江流域只需要3 4個gps接收機就足以反映流域水汽變化的結論。
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