normalized decision 中文意思是什麼
normalized decision
解釋
歸一化判決- normalized : 標稱的
- 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。
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On the basis of analyzing the classification principle of decision tree classifier and parallelpiped classifier, a new classification method based on normalized euclidian distance, called wmdc ( weighted minimum distance classifier ), was proposed
通過分析多重限制分類器和決策樹分類器的分類原則，提出了基於標準化歐式距離的加權最小距離分類器。 -
The potential applications of amr include both civil and military communication, especially non - cooperative communications and communication confrontation, such as identifying signals, supervising signals, distinguishing interference, electronic confrontation, analyzing military threat, etc. on the basis of our analysis to the existing research on feature abstraction, the related feature abstraction methods are optimized in this paper, resulting several effective methods such as the feature abstraction based on transformation domain, stepped voltage level analysis, normalized carrier - free spectral energy analysis, squared signal and fourth powered signal analysis, etc. both the decision theory based on recognition algorithms and the artificial neural network ( ann ) based on recognition algorithms is analyzed, and the former is selected as it is more appropriate for this research
調制類型的自動識別廣泛應用於民用通信與軍用通信，尤其是對于非合作性通信、通信對抗，比如：信號確認、信號監控、干擾辨識、電子對抗、軟體無線電、電子救援、通信對抗、軍事威脅分析等。本論文在分析現有研究的基礎上，借鑒了已有的特徵提取方法，對相關調制類型特徵提取方法進行了優化，使用了一些有效的方法，如基於變換域特徵提取方法、梯層電平分析方法、剔除載波后的歸一化頻域能量分析方法、信號平方后的頻譜分析方法、信號四次方后的頻譜分析方法等。通過對基於決策理論和基於人工神經網路兩種識別演算法進行分析，本論文選擇了較適合的基於決策理論的識別演算法。 -
In our work here, a model of data mining was developed, which got its foundation from artificial neural networks. hi fact, this kind of model might be called an infant protocol for dss ( decision support system ), which accepts final users " raw data, integrates various sources of data, cleanses them from garbages, then normalizes them into an intermediatary data file. from this temporary data file, the dss model can now make a conclusion, which is a fuzzy set. to do this, we introduce a kind of ann models called bp network, which classifies the records from the normalized data file. in the model. we put our main emphasis on bp network and its training algorithm. ann has been a branch of ai, and it has some kind of intelligence of human beings, as to memorization and reasoning
我們實現的模型是一個有機的數據處理和決策綜合系統，首先，模型接受用戶在通常的mis系統中積累產生的各種數據，對這些原始的， 「粗糙」的數據，我們第一步的工作是對他們進行預處理，這個過程其實相當的復雜棘手，最典型的，它首先要集成來自不同數據源的數據，其次，它要能夠對這種數據進行清洗，除去我們不感興趣的臟數據，最後，它還要對數據進行重新的解釋，處理數據的規范化，一致化等問題。在進行了必要的數據預處理之後，我們就可以對這種合適的數據進行決策分類了。
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