mapping fault 中文意思是什麼
mapping fault
解釋
變換誤差-
Samples show that this method is effective for the condenser fault diagnosis. the condenser fault diagnosis is a complicated non - linear mapping
本文首次嘗試用決策樹方法對凝汽器故障進行診斷，研究結果表明，該方法切實可行。 -
The integrated analyzing and sorting toward ids data, the accurate forecasting of the intruders and common visitors etc, all come down to the multiple data conformity disposal. therefore, it is vitally important to develop a perfect nonlinear conformity disposal method. however, some favorable characters of ann can content these ids working demands perfectly, in additon, the capability of nonlinear mapping of ann also make sure that the system can execute simple or complex classification and save the information into the coefficent of connecting power, maintain the network robust and fault toleration. so more and more people alter one after another their working focus to the nonlinear mathematic model based on the ann in order to resolve the complex problems in ids system much better
入侵檢測工作屬于分類識別問題，其中存在著大量的非線性問題，對入侵檢測資料進行綜合分析與分類，準確判別惡意訪問和正常訪問等都涉及到多資料的整合處理，因此研製理想的非線性整合處理方法是非常必要的，而神經網路由於其內在的對不確定性的學習與適應能力，恰好能滿足入侵檢測工作分類識別的需求，另外神經網路的非線性映射能力也是保證其成功實現各種簡單或復雜分類的主要原因，它將信息分散式存儲于連結權系數中，使網路具有較高的容錯性和魯棒性。 -
Artificial neural network ( ann ) is non - linear technology developed since 1980. the ann model is determined by topology structure, activation function and learning method. the model possesses with good fault tolerance, self - adaptability and non - linear mapping, especially it is suitable to resolve complex causal problems
人工神經網路模型具有很強的容錯性、自適應性和非線性的映射能力，特別適于解決因果關系復雜的非確定性推理、判斷、識別和分類等問題。 -
Studies on interactive computer - aided mapping of fault trees
互動式計算機輔助事故樹繪圖研究 -
After collecting the characteristics of this signal in frequency domain, the samples are learned to train the constructed wavelet neural network ( wnn ) for realizing the mapping relationship between the fault and the spectrum characteristic, this method can be used for diagnosis of the unit faults efficiently
在對水電機組振動信號進行頻譜分析后，提取該信號在頻率域的特徵量，將頻譜特徵向量作為學習樣本，通過訓練，使構造的小波神經網路能夠反映頻譜特徵向量和故障類型之間的映射關系，從而達到故障診斷的目的。 -
The building of network and the propagation and update of network belief are presented, the converting of fault tree to bayesian networks is shown, including the mapping of node to event and the mapping of connected intensity to logical gate
摘要文章簡要闡述了貝葉斯網路的構造原理和網路信念的傳播與更新，並詳細說明了故障樹向貝葉斯網路轉化的過程，主要包括結點與事件的映射關系和聯接強度與邏輯門的映射關系。
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