fault-tolerant computing 中文意思是什麼
fault-tolerant computing
解釋
容錯計算-
Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks
由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。 -
At the last chapter, we discuss the fault - tolerant technology and propose the model ( ft - mrs ) in the new field. as we know service concept is an important concept for distributed computing, the fault tolerant model build on the level of the service ( component / application ). we applied the fault tolerant in the insurance syste m
文章最後結合分散式容錯技術的發展，提出了針對服務級對象容錯模型，由於服務是大顆粒對象（組件或者應用程序） ，又是internet分散式計算環境中軟體開發的重要概念，該模型從服務級容錯這個新視角對容錯的復制管理、失效檢測、失效恢復技術及其演算法進行了深入的探討，從而使保險業務組件提供高可用的分散式應用。 -
This thesis introduces the conception of the system reliability, and analyzes some basic techniques for system reliability systematically, concludes the factors that influence the fault - tolerant real - time system : on the one hand, most of the fault - tolerance systems utilizes the hardware fault - tolerant technique, which improves the system reliability in a certain extent. however, this approach can only solve hardware error, and is helpless to software error. on the other hand, the real - time computing systems are designed decoupling between hardware and software, which is not beneficial for reliability design, especially for the tolerance design of software
本文首先介紹了系統可靠性的基本概念;詳細分析了基本的可靠性保障技術，特別是軟體容錯和硬體容錯的基本技術;歸納了制約容錯技術在實時系統中的應用的兩個核心問題:一是大多數容錯系統以硬體容錯為主，對于軟體錯誤無能為力;二是實時計算機系統設計中軟硬體耦合度低的特點不利於系統可靠性設計，特別是軟體容錯設計;導出了現代錯誤容忍設計急待解決的關鍵問題:確保硬體忍錯，強化軟體容錯，在系統級整合軟、硬體容錯。 -
As in nature, the network function is determined largely by connections ( weights ) between elements, so that a particular input leads to a specific target output. the cores of backpropagation neural network are the capacity of parallel computing, distribute saving, self - studying, fault - tolerant and nonlinear function approximating. input vectors and the corresponding target vectors are used to train a network until it can approximate a function, associate input vectors with specific output vectors, or classify input vectors in an appropriate way as defined by you
人工神經網路是一類模擬人類神經系統的結構，他揭示數據樣本中蘊含的非線性關系，大量處理單元組成非線性自適應動態系統，具有良好的自適應性、自組織及很強的學習、聯想、容錯和抗干擾能力，在不同程度和層次上可模仿大腦的信息處理機理，可靈活方便的對多成因的復雜未知系數進行建模。 -
Software fault - tolerant computing technology and method of reliability assessment
軟體容錯技術與可靠性評估方法 -
Wiley, 1995 ) was selected by the majority experts in the fault - tolerant computing field as one of the four most seminal papers or books in that field
（ wiley ， 1995 ）則被大多數容錯計算學的專家評選為四部在該領域內最富開創性的論文或書籍之一。
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