The excellence and disadvantage of them are analyzed . 2 . the grset ( generate rules by using set - enumeration tree ) algorithm is proposed based on the research of predecessor Grset算法采用的是集合枚舉樹的數(shù)據(jù)結(jié)構(gòu),采用深度優(yōu)先的方法遞歸地生成關(guān)聯(lián)規(guī)則的后件。
So data warehouse technique is introduced in fault diagnosis . takes gear case as the instance , the paper uses the data mining to generate rules distinguishing the faults of gear case , and then uses these rules to diagnose unknown fault 對此,在故障診斷領(lǐng)域引入數(shù)據(jù)倉庫技術(shù),并以齒輪箱為例,通過數(shù)據(jù)挖掘產(chǎn)生區(qū)分齒輪箱各種故障的規(guī)則,并利用這些規(guī)則來診斷未知故障。
Based on the analysis of the working principle of snort and some of its source codes , it introduces the structure of snort ' s rule database , how to generate rule trees and analyzes the processes of information collecting , parsing and rule matching after exploring the existing software and hardware technology , it puts forward an embedded ids design model based on ixp2400 network processors and describes the design scheme in detail Snort是一個輕量級的nids系統(tǒng),在嵌入式ids系統(tǒng)中的數(shù)據(jù)包分析檢測部份,擬借鑒它的部份原理和技術(shù)?;趯λぷ髟砑安糠菰创a的分析,本文介紹了snort的規(guī)則庫的結(jié)構(gòu)、規(guī)則樹生成方法,分析了其信息收集、解析和規(guī)則匹配過程。
The reasons lie in that , firstly , some ba - sic conditions are ready to generate rule of law , but rather immature ; secondly , during the process of the construction of the order of rule of law in contemporary china , only the extrinsic values and the choices of extrinsic value objectives are emphasized while the intrinsic values and the pursuit of the intrinsic values of rule of law are ignored , which make things go contrary to wishes 究其原因,一方面是中國的法治生成的一些基本條件已經(jīng)具備,但相當(dāng)不成熟,這種不成熟性就是上述現(xiàn)象產(chǎn)生的一個原因;另一方面是當(dāng)代中國在法治秩序的建構(gòu)過程中僅強調(diào)法治的外在價值及外在價值目標(biāo)的選擇而過分忽視法治的內(nèi)在價值及對法治的內(nèi)在價值的追求所產(chǎn)生的事與愿違的結(jié)果。
Third , generation rule device in this model also uses the genetic algorithm to generate rule . but this genetic algorithm is different from the genetic algorithm used to optimize bp nerve network . their different point is that space of solution in this genetic algorithm isn ’ t a simple number value and space of string , but a space of function 第三、該模型中的規(guī)則生成器也是使用遺傳算法來生成規(guī)則,但是這里的遺傳算法和遺傳算法優(yōu)化bp神經(jīng)網(wǎng)絡(luò)模塊中的遺傳算法不同之處在于此遺傳算法的求解空間不是簡單的數(shù)值與符號空間而是函數(shù)空間,它所得到的結(jié)果不是一個簡單的定長字符串,而是表示待求解問題的一個求解模型的字符串。