統計判決函數 的英文怎麼說
中文拼音 [tǒngjìpànjuéhánshǔ]
統計判決函數
英文
statistic decision function- 統 : Ⅰ名詞1 (事物間連續的關系) interconnected system 2 (衣服等的筒狀部分) any tube shaped part of ...
- 計 : Ⅰ動詞1 (計算) count; compute; calculate; number 2 (設想; 打算) plan; plot Ⅱ名詞1 (測量或計算...
- 判 : Ⅰ動詞1 (分開; 分辨) distinguish; discriminate 2 (評定) judge; decide 3 (判決) sentence; con...
- 決 : Ⅰ動詞1 (作出主張; 決定) decide; determine 2 (執行死刑; 殺死) execute a person 3 (裂開; 斷開...
- 函 : 名詞1. [書面語] (匣; 封套) case; envelope 2. (信件) letter 3. (姓氏) a surname
- 數 : 數副詞(屢次) frequently; repeatedly
- 統計 : 1 (對有關數據的搜集、整理、計算和分析) statistics; census; numerical statement; vital statistic...
- 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
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Bdd ( binary decision diagram ) is the state - of - the - art data structure in logic function. it is widely used in the fields of computer science and digital circuit and system
二元判決圖bdd ( binarydecisiondiagram )是邏輯布爾函數的一種高效表示方法,在計算機科學以及數字電路與系統等領域中有廣泛的應用。Finally, according to the process of selecting uncertain parachute design parameters, we present the fuzzy knowledge representation combining production rule with certainty factor and possibility - distribution function. on these bases we establish a fuzzy decision model, using rule - based reasoning and synthesized fuzzy evaluation, for uncertain parameters
通過對不確定參數選擇過程的分析,提出在降落傘設計參數決策專家系統( pdpdes )中採用帶可信度的產生式規則與可能性分佈函數相結合的模糊知識表達方法,在此基礎上給出了基於規則推理與模糊綜合評判演算法相結合的不確定參數模糊決策推理模型。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
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