complex redundant system 中文意思是什麼
complex redundant system
解釋
復雜多餘系統-
Our country bank not good property origin is extremely complex, mainly has following several aspects the reason : ( 1 ) under the planned economy system, the " series receives series " and " dials changes loans the loan which history and so on " policy leaves behind down to form not good loans ; ( 2 ) 1, 992 - in 1993 economical heat, the large amount fund flows to the real estate, the stock market and so on ; ( 3 ) for many years building redundant project, credit fund effect even more difference ; ( 4 ) local authority to financial organ intervention ; ( 5 ) the financial organ internal management is bad and so on
我國銀行不良資產的成因十分復雜，主要有以下幾方面的原因： （ 1 ）計劃經濟體制下， 「統收統支」及」撥改貸」政策等歷史遺留下來的貸款所形成的不良貸款； （ 2 ） 1992 1993年經濟過熱，巨額資金流向房地產、股票市場等； （ 3 ）多年來重復建設，信貸資金效益甚差； （ 4 ）地方政府對金融機構的干預； （ 5 ）金融機構內部管理不善等。 -
The classifier with ability of feature selection is studied to prepare for face cascade representation and to make it possible to detect and recognize face fast and accurately. finally, construction of an array of classifiers is researched, and an effective method to design classifiers of fast face detection and recognition with complex background is presented, which is able to radically discard redundant areas and realize a robust real - time face detection designed for complex background and recognition system with large face database. finally, a fast face detection and recognition system for images with complex background is proposed and implemented by combining face cascade representation and classifier design
首先研究了在人臉檢測和識別中常用的分類器，比如符號函數、最近鄰、神經網路、 svm 、 adaboost等，選擇了適合於人臉檢測和識別的分類器，並提出了結合pca特徵和rbf進行人臉姿態的判別方法：其次研究了具有特徵選擇功能的分類器發計，這為人臉的級聯表示提供了條什，也為快速準確的人臉檢測和識別提供了可能；最後，對組合分類器設計進行了研究，提出了適于復雜背景下快速人臉檢測和識別的有效分類器設計方案，這使得人臉檢測和識別能夠快速剔除不感興趣區域，為復雜背景下實時人臉檢測和大型人臉庫的快速識別提供了可能。 -
In order to diagnose complex system, because there exists too many characteristic parameters, the problems, such as over - large scale of neural network, unduly long train time, and redundant rules in expert system ' s rule base, will result in the reduction of whole system ' s practical performance. then the rough set theory that received focus attention in recent years is led into the internal - combustion engine fault diagnosis work. the application of this theory in the attributable optimization of fault diagnosis characteristic parameters is explored
考慮到在對復雜系統進行診斷時，由於特徵參數過多而造成神經網路規模過大、訓練時間過長以及專家系統規則庫存在規則冗餘等問題，最終導致整個系統實用性能的降低，為此將粗糙集理論引入了內燃機故障診斷工作，對其在故障診斷特徵參數屬性優化中的運用進行了探索。
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