On achieving better fault - tolerant capability for recognizing heavily stained printed chinese characters with a four - layer fuzzy neural network 基于模糊神經(jīng)網(wǎng)絡(luò)的印刷體漢字容錯識別方法
Because of the deficiency of corba in distributed real - time application , some practicable methods are discussed to make corba have some real - time characters and fault - tolerant capability , by extending the current corba based on the existing operating system 鑒于corba在分布實時應(yīng)用中的不足,作者討論了一些改進的可行性方法,主要是考慮在現(xiàn)有操作系統(tǒng)的基礎(chǔ)上,對現(xiàn)行corba進行擴展,使其具備實時特征和容錯能力。
Both theoretical proof and practice show that ftpb can efficiently utilize cpu resource and increase the task acceptance ratio without adding extra resource to the system . so ftpb has better fault - tolerant capability and at the same time guarantees the real - time demand of task 理論和實踐證明:該算法在系統(tǒng)不增加額外資源的前提下,能有效地利用cpu資源,并提高了任務(wù)的接受率,因而既有較好的容錯能力又保證了任務(wù)的實時性,使算法更加實用。