probability decision function 中文意思是什麼

probability decision function 解釋
概率判決函數
  • probability : n 1 或有；或然性。2 【哲學】蓋然性〈在 certainly 和 doubt 或 posibility 之間〉。3 【數學】幾率，...
  • decision : n. 1. 決定。2. 判決。3. 決議。4. 決心；決斷。5. 【美拳】（根據分數而不是根據擊倒對方做出的）裁判。
  • function : n 1 功能，官能，機能，作用。2 〈常 pl 〉職務，職責。3 慶祝儀式；（盛大的）集會，宴會。4 【數學】...
  1. The communication system ' s performance is briefly analyzed by channel capacity, which is a function of bit error rate ( ber ). the decision rule is based on the most likelihood method. for reproducing the original binary signals more correctly, time scale transformation method and the approach of ensemble average probability of error bits are introduced

    通過理論分析和模擬實驗，本文研究了這個非線性數字通信系統性能，給出了誤碼率和通道容量公式，提出了系統參數調節方法，採用最大似然法設計了適合這個系統輸出的判決規則。
  2. 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。
  3. Probability decision function

    概率判決函數
  4. A new decision - level fusion method is put forward : after probability distribution of each sensor is decision is obtained, a fuzzy integrated function is used to fuse the information and diagnose the fault

    針對這種情況，如何準確地判斷是否存在故障並盡快找到故障源就取決于合適的融合方法。
  5. How to use dempster - shafer ( d - s ) method to solve multi - sensor data fusion problems is analyzed in this paper. based on basic probability assignment of target type decided by multiple sensors, new sensor data are added continually, and believe function and plausibility function are update ; finally the destination of decision of target type is arrived

    應用證據理論（ d - s方法） ，解在多傳感器條件下的數據融合問題，具體方法是根據多個傳感器對目標類型判斷的基本概率分配函數，不斷添加新的傳感器數據，更新信任函數和似然函數，最終判斷目標類型。
  6. According to the phenomenon that some vehicles may come cross the starting difficulty after the engine running a period of time, the paper firstly analyzes, the practical meaning of engine cold start parameter for automatic testing and diagnostic systems, according to dempster - shafter amalgamation rule, requirement of proof, aining at concrete fact of breakdown diagnosing for engine cold start. conforming basic probability distribution function, it presents concrete realization for decision - making amalgamation arithmetic, completes for development of soft and hard wares of automation synchronous messure of engine cold start " s parameter

    針對發動機運行一段時間后，部分車輛就會出現起動困難的故障現象，本文首先分析了發動機冷起動參數自動測試與診斷系統的實際意義，根據dempster - shafer證據理論的融合規則、要求，針對發動機冷起動故障診斷的具體實例，構造了基本概率分配函數，給出了決策層融合演算法的具體實現方法，完成了發動機冷起動參數自動同步測試的軟體硬體開發。
  7. Probabilistic neural network ( pnn ) is a classification network, which is based on bayesian decision theory and probability function estimation theory

    D . f . specht提出的概率神經網路（ probabilisticneuralnetwork ， pnn ）是基於密度函數估計和貝葉斯決策理論而建立的一種分類網路
  8. Abstract according to the defect of the conventional bayes " method in the geomechanical engineering back analysis, expanding bayes " method was established in this paper. with the applications of the probability theory and the mathematical statistics principle, the geomechanical engineering random back analysis objects function was founded based on the aic criterion of the decision information theory and the maximum entropy criterion, a the matching question between the observed information and the previous information of the conventional bayes " method were proposed. in addition, the least square method, maximum likelihood method and conventional bayes " method were unified in form

    本文針對巖土工程反分析中使用的傳統貝葉斯法中存在的缺陷，提出了擴展貝葉斯法，從概率論和數理統計的原理出發，建立了基於決策信息論中aic準則和最大熵準則的巖土工程隨機反演的準則函數，解決了傳統貝葉斯法的觀測信息與先驗信息的匹配問題，並從形式上完成了目前常用的最小二乘法、最大似然法及傳統貝葉斯法準則函數的統一，並可由觀測數據的質量和數量進行預測模型的辨識。
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