optimal decision function 中文意思是什麼
optimal decision function
解釋
最優決策函數-
According to the different sample set, we have been on discussion, using lagrangian multiplier technique or lmt in the optimal theory, slt and function analysis ， then we get the decision function and svm with the corresponding different sample set. thirdly, for improving generalization ability, application ability and recognition speed of svm, we have used fuzzy set theory ( fst ) and rough set theory to study svm deep, and integrated them into svm, constructed fssvm ( fuzzy set svm ) and svm based on rough set theory, and extended performances of svm in the chapter 4, 5
再次，為了進一步提高支持向量機的通用性以及推廣能力、應用能力、識別速度等性能，在第四、第五兩章運用模糊集理論（ fst ）和粗糙集理論（ rst ）對支持向量機進行研究，採用優勢互補原則，先是把模糊集與支持向量機有機結合，構造出基於模糊集的支持向量機（ fssvm ） ，然後把粗糙集理論與支持向量機相互結合，進而把rst與fssvm相互結合，構造出基於rst的支持向量機。 -
Taking xinzhou city as the case, the paper analyzes the city ' s actual situation of water supply, available water sources and their amount, distribution and development. it also calculates the mid and long term needed water amount and insufficient water amount in the city. taking the natural, commercial and life material properties and environmental function of water sources into full consideration, taking the satisfaction of the needed amount of the city and the balance and the largest capacity of every water source as the prerequisite, the paper aims at the mid and long term water supply sources ( north water sources region, douluo water sources region, shuiquanwan water sources region ) and the lest spending on the investment and operation of the self - equipped wells ; through the determination of decision variables, a model of economic management for the city ' s water supply is established, witch carries out the mid and long te rm optimal operation of water supply for the city
本文以忻州市為例，分析了忻州市供水現狀，可供水水源、水資源量、分佈及開發利用情況，預測了中長期需水量和缺水量，充分考慮水資源的自然屬性、生活資料屬性、商品屬性和環境因素功能，通過決策變量設置，在保證城市需水量、水資源平衡和各供水水源最大供水能力的前提下，以開采忻州市中長期供水水源（北水源地、豆羅水源地、水泉灣水源地）和自備井開採的投資和運行費用最低為目標，建立了城市供水水源優化調度經濟管理模型，運用線性規劃方法進行了城市中長期供水水源優化調配。 -
Based on the genetic algorithm ' s global searching capability with probability regulation and euclid ' s space distance metric to settle multi - objective, the algorithm that integrates multi - objective ' s decision - making into the modified genetic algorithm to solute the optimal model with discrete variables and multi - objective is proposed. during the algorithm ' s design, the euclid ' s space distance metric is proposed to transform the multi - objective problem into single objective problem. and some modified measure to fitness function and crossover probability and mutation probability are used to improve the performance of the algorithm and avoid premature convergence
演算法設計過程中，利用歐幾里德空間距離準則和罰函數法，將含有約束條件的多目標規劃問題轉化為無約束的單目標優化問題；針對簡單遺傳演算法出現的早熟，構造隨進化代數動態調整適應度的適應度函數和隨個體適應度自適應調整的交叉、變異概率；提出比例選擇與精英保留策略相結合的選擇、兩點交叉和簡單變異的改進遺傳演算法。 -
Reinforcement learning algorithms that use cerebellar model articulation controller ( cmac ) are studied to estimate the optimal value function of markov decision processes ( mdps ) with continuous states and discrete actions. the state discretization for mdps using sarsa - learning algorithms based on cmac networks and direct gradient rules is analyzed. two new coding methods for cmac neural networks are proposed so that the learning efficiency of cmac - based direct gradient learning algorithms can be improved
在求解離散行為空間markov決策過程（ mdp ）最優策略的增強學習演算法研究方面，研究了小腦模型關節控制器（ cmac ）在mdp行為值函數逼近中的應用，分析了基於cmac的直接梯度演算法對mdp狀態空間離散化的特點，研究了兩種改進的cmac編碼結構，即：非鄰接重疊編碼和變尺度編碼，以提高直接梯度學習演算法的收斂速度和泛化性能。 -
( 6 ) the reservoir operation function is established utilizing the optimal dispatching results. the state variable and decision variable of the operation function is discussed, and the stepwise regression method is used to derive the operation function. because of the nonlinear features of the function have n ' t been reflected in traditional regression methods, the back - propagation neural network model is introduced to establish the operation function
（ 6 ）利用水庫優化調度結果建立水庫調度函數，在分析水庫調度函數各特徵量的基礎上，介紹了用逐步回歸方法建立水庫調度函數的具體過程，考慮到傳統回歸方法未能反映調度函數的非線性特性，引入bp神經網路模型求解模型，建立水庫調度函數。 -
In spite of different methods to a fuzzy optimal solution to the two classes of fuzzy linear programming, these methods have similar ideas : first is to fuzzify the objective function and constraints, i. e., to display the definition of fuzzy membership function. second is to transfer the fuzzy linear programming into one general linear programming, based on the fuzzy decision, then we can obtain the fuzzy optimal solution by solving this linear programming
雖然求這兩類模糊線性規劃的模糊最優解的方法並不相同，但其思想具有相似性：首先是把目標函數或約束條件模糊化，給出他們的隸屬函數的定義；然後給出模糊判決，在此基礎上，規劃最終都可化為求一個普通規劃的解，這個解可看成模糊線性規劃的模糊最優解。 -
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。 -
As per optimal operation pattern function with annuals cycle, each decision of annual cycle and corresponding operating factors in the light of observed value of random variable, regression analysis at each time - interval is carried out and then regression equation will be as the operation function to guide cooperating operation for group hydropower station
依據優化調度模型函數，以年為周期，將各年周期的決策值及其相關的運行要素作為隨機變量的觀測值，逐時段做回歸分析，並將其回歸方程作為指導水電站群聯合運行的調度函數。
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