regression prediction 中文意思是什麼

regression prediction 解釋
回歸預測
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  • prediction : n. 1. 預言，預告。2. 被預言的事物。3. 【氣象學】預測，預報。
  1. At the basis of transportation amounts prediction, it further studies the prediction ways of raising funds, and with the characters of main fixed property demanding funds not needing prediction every year because of its using period longer, it emphatically studies the fixed quantity methods of raising liquid funds - increasing rate and transportation income percentage and regression analysis and neural network

    在運量預測基礎上，文中進一步探討了水運企業籌資的預測方法，鑒於水運企業主要固定資產具有使用期限長，其資金需要量不需每年預測的特點，本文著重探討了籌集流動資金的定量技術-增長率法、運費收入百分比法、回歸分析法和神經網路方法。
  2. Thus this paper puts forward the dynamic time series period analysis and prediction model. it combines the basic principle of the stepwise regression period analysis to the multiplayer - transfer method. it can not only effectively select every latent period of a time series, but also take advantage of the selected latent periods to make a long - term prediction

    因此本文提出了動態時間序列周期分析預測模型，它是將多層遞階方法與逐步回歸周期分析的基本原理相結合，使之既可以有效地選取時間序列的各個隱含周期，也可以利用所選取的隱含周期作較長的時間預測。
  3. Application of regression multianalysis in cost prediction in open - pit coal mine

    多元回歸分析法在露天礦成本預測中的應用
  4. It is proposed that the fixed capacity investment and cargo discharge regression forecasting model and the optimal average information customer distribution model can be used to predict the cargo o - d distribution. the capacity limitation dynamic increment comprehensive network model can be applied to the prediction of the channel cargo transportation discharge and the turnover discharge in the main courses. the main courses network plan grade can be verified by the total cost method, and according to which the economic rationality of constructing different grade channels can be evaluated

    本文開展了平原水網地區航道網規劃方法的研究，提出了採用固定資產投資完成額與貨運量回歸預測模型；平均信息量用戶最優分佈模型預測貨物o - d的分佈；容量限制動態增量綜合網路配流模型預測干線航道貨物運輸量和周轉量；採用總費用法論證干線航道網規劃等級，據此評定建設不同等級航道的經濟合理性。
  5. In rsdm, binary patterns are replaced by real - valued patterns, accordingly avoiding the coding process ; the outer learning rule is replaced by regression rule, therefore the model has not only the ability of pattern recognition but the ability of function approximation. the prearrangement of the address array bases on the distribution of patterns. if the distribution of patterns is uniform. then the address array is prearranged randomly, otherwise predisposed with the theory of genetic algorithm and the pruneing measure so as to indicate the distribution of patterns and improve the network performance. non - linear function approximation, time - series prediction and handwritten numeral recognition show that the modified model is effective and feasible

    在rsdm中，以實值模式代替二值模式，避免了實值到二值的編碼過程：以回歸學習規則代替外積法，使該模型在具有識別能力的同時具有了對函數的逼近能力；地址矩陣的預置根據樣本的分佈採取不同方法，若樣本均勻分佈，則隨機預置，否則利用遺傳演算法的原理和消減措施來預置地址矩陣，使之反映樣本的分佈，改善網路的性能。
  6. Considered the present condition of liaoning province, the evaluation and prediction method of liaoning province bridge technique condition is analyzed, then bridge condition changed - contingency evaluated method is introduced, negative index curve is chosen as the regression analysis model of the bridge condition prediction, and based on the information of bridge management system in the liaoning highway, the parameters of model are calibrated, the average repaired life of bridge is also calculated, the definite method of the bridge ' s repaired year is given, at the same time the markov chain model of bridge condition prediction is presented

    結合遼寧省的橋梁工程及管理具體情況，研究了遼寧省橋梁技術狀況評價與預測方法，引入橋梁缺損狀況變權評定方法，選擇負指數曲線作為橋梁缺損狀況預測的回歸分析模型，並依據遼寧省干線公路橋梁管理系統中的橋梁狀況信息，標定了模型的參數，計算橋梁中修及大修（或改建）的平均年限，給出橋梁大中修年份的確定方法，同時也建立了橋梁缺損狀況預測的馬爾可夫鏈概率模型。
  7. This paper narrates the meaning of research in the applied field of prediction for the ultimate bearing capacity of the integrate pile, introduces several typical predication methods for the ultimate bearing capacity of pile, and gives the way for making model. one of them is the partial least - squares regression method which is put forward by me with the help of mathematics knowledge. the method can offer full range analysis for the ultimate bearing capacity of pile

    本論文主要內容敘述了預測法在完整樁極限承載力中應用研究的意義，引入幾種典型的預測法對樁極限承載力進行預測，闡明了模型的建立方法及過程，其中偏最小二乘回歸預測法是本人藉助數理知識提出的一種新的預測法，用此法可以對樁極限承載力進行全過程分析，本論文最後用marc軟體進行模擬模擬預測，進一步實現了預測的實用性。
  8. Ridge regression learning in esn for chaotic time series prediction

    嶺回歸學習演算法及混沌時間序列預測
  9. Aiming at regression analysis of prediction variable with error, this paper discusses the estimation of regression of coefficient, and a method is given

    林業科學試驗的預測模型中往往帶有測量誤差，此時回歸系數的估計不具有無偏性。為解決這一問題，從合理安排試驗的角度，給出了一個有效的解決辦法。
  10. Groundwater level prediction is also a very important field in groundwater environment prediction. land subsidence, encroachment of sea water and deterioration of water quality and so on by artificial development have relation to sustained drop of groundwater level. after groundwater level change mechanism was analyzed, the establishment method of groundwater level prediction regression analysis model was explored. and the groundwater level development trend of some planning region with the model was predicted according to its change characters of groundwater level, wath ' s more, the prediction results was analyzed

    地下水位的預測也是地下水環境預測的重要內容，地下水在開采過程中所產生的地面沉陷、海水入侵、水質惡化等現象均與地下水位持續下降有關，本文在對地下水位變化機理分析的基礎上，探討了地下水水位預測回歸分析模型的建立方法，並針對某規劃區地下水位變化的特點，應用該模型對該規劃區地下水位發展趨勢進行了預測，並對預測結果進行了分析。
  11. ( 4 ) the applications of bp neural network prediction gm ( 1, 1 ) prediction of new information with the same dimension non - linear exponential regression prediction in regional social - economic indexes are discussed in this paper

    （ 4 ）探討了bp神經網路預測、灰色gm （ 1 ， 1 ）等維新息模型預測和非線性指數回歸預測等方法在區域社會經濟指標預測中的應用。
  12. ( 5 ) at the last part, we use method of econometrics to conduct regression of various statistics of near years " consuming structure and build regression model to predict our provincial 2005 year to 2010 year ' s consuming structure changes. finally we analyze the result of prediction

    （ 5 ）在本文的最後一部分，我們運用經濟計量學的方法對我省近年來消費結構的各項數據進行回歸，建立了線性回歸模型，根據模型對2005 - 2010年我省消費結構的變化進行了預測，並對預測結果進行了分析。
  13. On the application of regression analysis in economic prediction

    回歸分析法在經濟預測中的應用淺析
  14. Analysis of linear regression and prediction of energy needs

    線性回歸分析與能源需求預測
  15. Based on modified arrhenius formula, an integral method and a two - step regression method for storage life prediction of solid propellant are presented

    摘要在修正的阿倫尼斯公式基礎上，提出固體推進劑貯存壽命的整體預測方法和兩步回歸預測方法。
  16. According to the case that the macrocosmic system is nonlinear and lack of testing data, the improved forecasting methods are proposed such as fuzzy exponential smoothing forecasting, center approaching gray prediction and the local multiple regression fuzzy ( lmrf ) model based on takagi - sugeno fuzzy logical system. these improved methods are applied into the forecasting instances. the prediction accuracy of the stimulation result is testified and the improved forecasting methods are proved much better than conventional forecasting methods

    本文從宏觀角度和基於區域交通流小樣本數據的實際情況，提出了改進的模糊指數平滑預測和中心逼近式灰色預測方法，建立了基於takagi - sugeno模糊邏輯推理的局部多元回歸模型（ lmrf模型） ，並進行了實例預測模擬，實例模擬結果表明改進的預測方法比傳統的預測方法精度提高了好多倍。
  17. Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ), the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt. then the optimization model of polymerization reaction was presented, which was solved by using simulation annealing algorithm to obtain the best techniques parameters. the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network, brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line

    提出了流程工業生產過程操作優化策略和應用實施方法，包括生產過程離線優化策略、非線性問題求解策略、在線優化模型及學習策略；結合揚州有機化工廠計算機集成製造系統集散控制系統（ yh - cims dcs ）的實施，針對錦綸? 6浸膠南京理工大學博士學位論文摘要簾于布生產中己內酚胺聚合反應過程優化控制這一工程實際問題，採用統計建模方法，建立了聚合反應過程的優化模型；為求解所得的優化模型，提出了種改進的有約束條件下的模擬退火演算法，該演算法能避免陷於局部最優解，有效地提高了所求解的全局性和可靠性：提出了基於改進的ga演算法和sp演算法相結合的混合學習演算法，建立了基於神經網路的聚合反應過程生產目標在線預測模型，該演算法和模型滿足了生產中的實時性和實用性要求。
  18. We also find that bp neural network model overwhelms logistic regression model in prediction accuracy in sample part and has a accuracy of 95 % one year before financial distress. but bp neural network model have the similarity accuracy in test part with logistic regression model

    比較兩種方法，發現bp神經網路模型對樣本組的預測能力好於logistic回歸模型，且對沈陽市國有企業發生財務困境前一年的預測準確率高達95 % ;但對檢驗組的預測效果同logistic回歸模型相當。
  19. The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability

    （ 3 ）運用線性回歸預報方程和三種人工神經網路模型對福建汛期旱澇進行預測的實驗表明： bp 、徑向基（ rbf ）和elman這三種人工神經網路模型在歷史樣本擬合精度上、獨立樣本檢驗結果和網路模型的實際預測能力上都明顯優于傳統的線性回歸方法。
  20. For the information construction, a improved back - propagation artifical neural network is used to predict the level displacement and lateral displacement of timbering stake. nonlinear regression prediction of deformation has been achieved

    為了做到信息化施工，以改進的bp人工神經網路為基礎，建立了支護樁水平位移和側向位移的預測模型，實現對基坑變形的非線性預測。
分享友人
分享到 Line

分享到臉書