catch prediction 中文意思是什麼

catch prediction 解釋
漁獲量預報
  • catch : vt （caught; caught）1 捕捉；逮著，捕獲，攔截；用網捕（鳥等）；迷惑住。2 看到，看穿，看出，發覺。...
  • prediction : n. 1. 預言，預告。2. 被預言的事物。3. 【氣象學】預測，預報。
  1. But the result from cointegration show the structure of fresh water catch ca n ' t result hi the price fluctuation 5 ) we had build all of the empirical models above applied the theory of economics, prediction and econometrics by farmer price and retail price of aquatic products in 2000 sampled between 1978 and 1999

    但是，單整檢驗結果表明，淡水捕撈結構的變動不對水產品收購價格產生沖擊。 5 ）選取1978 ? 1999年水產品零售價格與收購價格作為樣本區間， 2000年作為測評區間，分別採用相應計量方法對上述模型進行了實證。
  2. Using feedback with prediction to control chaos, we also catch hold of the result of high - period, which has never been reached. the double feedback method is introduced to control the chaos and hyperchaos in a 2 - dimensions discrete system and the spatio - temporal open - flow models based on the method of the delayed feedback and the predict method. the condition under which chaos can be stabi lized could be educed by theoretical analysis

    提出預測反饋控制與延時反饋控制組合的雙反饋控制方案，並將這一方案應用到對離散系統的混沌和超混沌的控制以及時空系統中混沌的控制；從理論上分析了具體系統採用此方案控制，系統能控制住的解析條件；理論和數值計算的結果都表明，使用組合的控制方案極大地拓寬了系統可控制的參數范圍，提高了控制質量，有利於實際應用。
  3. Nonlinear dynamic modelling of sensors is an important aspect in the field of instrument technique. the recursive neural network is proposed for nonlinear dynamic modelling of sensors, as its architecture is determined only by the number of nodes in the input, hidden and output layers. with the feedback behavior, the recursive neural network can catch up with the dynamic response of the system. the recursive neural network which involves dynamic elements and feedback connections has important capabilities that are not found in feedforward networks, such as the ability to store information for later use and higher predicting precision. a recursive prediction error algorithm which converges fast is applied to training the recursive neural network. experimental results show that the performance of the recursive neural network model conforms to the sensor to be modeled, and the method is not only effective but of high precision

    根據動態校準實驗結果建立傳感器的動態數學模型，以研究傳感器的動態性能，是動態測試的一個重要內容.討論了遞歸神經網路模型在傳感器動態建模中的應用，給出了遞歸神經網路模型的結構及相應的訓練演算法.由於其反饋特徵，使得遞歸神經網路模型能獲取系統的動態響應.該方法特別適用於傳感器非線性動態建模，而且避免了傳感器模型階次的選擇的困難.試驗結果表明，應用遞歸神經網路對傳感器進行動態建模是一種行之有效的方法
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