It makes automatic knowledge acquisition come true and ensure the consistency and maturity of the knowledge 由故障樹自動生成專家系統(tǒng)知識庫實現(xiàn)了診斷知識的自動獲取并確保了知識的一致性和完備性。
Decision tree induction has been applied to the area of automatic knowledge acquisition, which learned from a set of cases to generate a decision tree 決策樹算法是對一組已知示例進行歸納學(xué)習(xí),并生成一棵決策樹的方法,該算法己被廣泛的應(yīng)用于自動知識獲取領(lǐng)域。
The building of large-scale corpus with high quality has been prior to all others in the area of natural language processing, since the analyse of corpus and automatic knowledge acquisition are growing high recognition 在自然語言處理領(lǐng)域里,以大規(guī)模真實文本為基礎(chǔ)的語料庫研究和知識自動獲取越來越受到重視,建設(shè)大規(guī)模高質(zhì)量的語料庫成為首要的任務(wù)。
The paper briefly introduces the basic theory of fault tree analysis and rule-based expert system, and offers to combine fault tree analysis with rule-based expert system . by connecting fault tree to diagnosis knowledge base through cut set, we can express expert knowledge totally, systematically, and logically by building fault tree . it makes automatic knowledge acquisition come true to obtain diagnosis rule base automatically according to the fault tree 本文簡要闡述了故障樹分析法和基于規(guī)則的診斷專家系統(tǒng)的基本原理,提出將故障樹分析法與基于規(guī)則的診斷專家系統(tǒng)相結(jié)合的方法,通過割集將故障樹與診斷專家系統(tǒng)知識庫聯(lián)系起來,用建立故障樹的形式全面、系統(tǒng)、層次性地將專家知識表述出來,由故障樹自動生成基于規(guī)則的專家系統(tǒng)診斷規(guī)則庫,實現(xiàn)了診斷知識的自動獲取,并且確保了診斷知識的一致性和完備性。