general inference 中文意思是什麼
general inference
解釋
一般天氣預測-
The main topics include : 1 ) an introduction to expert systems, it ' s components, characteristics, inference strategy methods, knowledge representations, and general stages in the development of an expert system
主要的論題包括： 1 ）專家系統的介紹，它的組成，特性，推理策略方法，知識陳述和開發專家系統的一般階段。 -
As a result from fuzzy inference surface analysis, loc can be supported by the fuzzy inference system and can recover human ' s general perception on judging congestion
通過分析模糊推理系統的推理曲面，驗證了模糊推理系統的可行性，它能夠較好地支持交通擁擠度這個概念。 -
It is obvious that the working memory capacity limitation and less effective suppression of unrelated information made less skilled comprehenders not fulfill the inference processing in reading well. in turn, it influenced the building of discourse representation, and then destroy the comprehension and memory of discourse. finally, the relation between inference processing and general cognitive ability of high school students with different reading ability was analyzed synthetically on the basis of these research findings
正是由於閱讀理解能力較低被試較低的工作記憶容量和不能有效抑制無關信息對當前加工任務的干擾使他們在完成推理加工任務時受到來自於認知加工系統能力上的限制，因而不能有效完成閱讀理解所需的推理加工，這又影響了他們的語篇表徵的建構，破壞了語篇的理解和記憶。 -
In this sense, we think that bochman ' s framework provides a general theory of belief change. bochman also introduces a new kind of nonmonotonic inference relation so - called contraction relation and shows that contraction relations correspond to contraction operations on epistemic states
除此之外， bochman還介紹了一種被稱為收縮后承的新的非單調后承關系，並對收縮后承關系的性質開展了深入的研究。 -
Secondly, this paper discuss basic conception and general structure of expert system mainly, analyzes merits and faults of some algorithm deeply, on the basis of that, presents a fan fault diagnosis expert system based on rough sets theory by field reality. with the relation of fan ’ s symptom and fault, structures symptom - fault parallel table which is simple and clear. reduces knowledge base by rough sets, establishes inference rules through forward inference, overcomes the “ bottle neck ” problem of knowledge acquisition of expert system by combining fuzzy theory with rough sets
然後著重論述了專家系統的基本概念和一般結構，介紹了粗糙集理論的研究基礎以及在故障診斷中的應用，深入分析了幾種演算法的優缺點，在此基礎上結合現場實際構建了基於粗糙集的風機故障診斷專家系統的體系結構。利用風機徵兆和故障之間的關系構造了徵兆故障對照表，關系簡單明了。
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