optimal decision rule 中文意思是什麼
optimal decision rule
解釋
最佳決策規則-
This paper researches the basic statistical rule of oil - gas dynamic system from the systematic theory, combining with the common characteristic and structure characteristic of oil - gas dynamic system, taking the design requirement of oil field development programming into consideration, by using of functional simulation principle ( including nn method, differential simulation method ) and historical data of oil field, establishes the in - out conjunctional relationship of dynamic index of oil field development, and researches the two level index prediction of development dynamic with both oil field and oil production plant on the basis of the in - out conjunctional relationship. furthermore, this paper analyzes the " decision - making variable ", " object " and " restriction terms " by the optimization theory and set up several optimal models which compose the oil field development programming, it is following : optimization model of the production composing ( solving the optimal composing of each subentry production and cor responding cost, workload, including the onshore thin oil production, the heavy oil thermal process production, tertiary oil recovery production, and the offshore production ) ; optimization model of measure production structure ( determining the optimal composing of each measure production and measure workload, which is composed of fracture, acidulation, capital repair and so on ) ; optimization model of the production distraction ( optimal distribution of the whole oil field production to each oil production plant ) and the integrated development programming model of oil field
本文從系統理論出發研究油氣動態系統基本統計規律，結合油氣動態系統的一般特點，結構特點，兼顧油田開發規劃設計的要求，利用功能模擬原理（含神經網路方法、微分模擬方法） ，依據油田歷史數據，建立了油田開發動態指標間的輸入輸出關聯關系，並在此輸入輸出關聯關系的基礎上研究了油田及採油廠兩級的開發動態指標預測，同時利用最優化原理，在分析「決策變量」 、 「目標」及「約束條件」的基礎上建立了多個構成油田開發規劃的「優化模型」 ，這些優化模型包括：產量構成優化模型（解決陸上稀油產量、稠油熱采產量、三次採油產量、海上產量及對應的成本、工作量的最優構成問題） ；措施產量結構優化模型（解決壓裂、酸化、大修等各項措施產量及措施工作量的最優構成問題） ；產量分配優化模型（將油田的產量最優地分配到各採油廠）以及油田綜合開發規劃模型。 -
This document discuss the question about how to choose the loan client for the bank. on the basis of the research of the bank ' s loaning decision, we design the optimal loan rule so that the bank can ues it to choose the best loan client
我們以商業銀行在貸款決策中遇到的客戶選擇為背景，通過設計貸款決策的最優停止規則，使得商業銀行能夠根據這種決策規則選擇出」最好」的貸款對象（客戶） ，從而使得銀行在盈利性、流動性、安全性方面的目標得以實現。 -
This paper studies a design method of decentralized signal detection system which consists of adaptive fuzzied local - detectors and a data fusion rule of on - line self - learning weights. the local - detectors for inaccurate signal parameters are modeled by means of fuzzy sets which can be adapted to change of the inaccurate signal parameteres. the data fusion center where the optimal declsion rules are used as objective function can learn the local decision weights on - line. the robustness of the fuzzied local - detectors and the adaptability of the self - learned fusion rule make it true that the detection performance of the decentralized detection system is improved under uncertainty and this system can also process the decentralized signal detection with a unknown parameter of unknown distribution or non - random unknown parameter
本文研究了一種由局部自適應模糊檢測器和在線自學習融合演算法所構成的分散式信號檢測系統的設計方法.由模糊集對不精確信號參數的局部檢測器進行建模，該模糊模型可自適應不精確信號參數的變化.融合中心以最佳融合規則作為目標函數在線自學習局部判決的權重.局部模糊檢測器的魯棒性和自學習融合演算法的自適應性使該分散式檢測系統在不確定環境下的檢測性能得到提高.也使該系統能夠處理未知分佈的未知參數以及非隨機未知參數的分散式信號檢測 -
By analyzing expression between a and fuzzy entropy from the view of analytics, this paper analyses the relationship of between a and fuzzy entropy and the changing trend of fuzzy entropy function with the increase of a, then discusses the sensitivity of the parameter a to classification result such as total nodes, rule number, classification accuracy of fuzzy decision tree, proposes an experimental method of obtaining optimal a, it is proved by experiment that the optimal value a obtained by this method can make the classification result of fuzzy decision tree best, and therefore provides the academic evidence of selecting parameter a in order to gain the best classification result
本文在visualc + +軟體開發平臺及模糊id3演算法的基礎上，從解析的角度出發，通過分析參數與模糊熵之間的函數關系式，討論了隨著的增加，模糊熵函數的變化趨勢，進一步分析了參數對模糊決策樹的分類結果在訓練準確率、測試準確率、規則數等方面所表現出的敏感性，探討了得到最優參數的實驗方法。實驗證明，利用這一方法得到的最優參數的值，可以使模糊決策樹的分類結果達到最好的效果，從而為人們用模糊決策樹進行分類時選取參數以獲得最優的分類結果，提供了良好的理論依據。
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