markov chain model造句
例句與造句
- Markov chain model in life insurance application
馬爾可夫鏈模型在壽險中的應(yīng)用 - The grey - markov chains model is applied to the economic loss prediction system of environment pollution accidents
摘要將灰色馬爾柯夫鏈模型應(yīng)用于環(huán)境污染事故的經(jīng)濟(jì)損失預(yù)測系統(tǒng)。 - Furthermore , monte carlo sampling method is used to simulate reservoir lithofacies , based on different neighborhood systems of markov chain models
隨后，對不同鄰域系統(tǒng)的馬爾可夫鏈模型采用蒙特卡羅抽樣方法進(jìn)行了儲層巖相隨機(jī)模擬試驗。 - The experiment results clearly demonstrate that the detection performance of two - layer markov chains detection model is better than the traditional markov chain model ' s
實(shí)驗的結(jié)果清楚表明兩層馬爾可夫鏈模型的檢測性能要好于傳統(tǒng)的馬爾可夫鏈模型。 - Taking a chemical factory for example , the authors make a tentative study on the prediction of its economic loss of pollution accidents according to the grey - markov chains model
以某化工廠的污染事故的經(jīng)濟(jì)損失作為實(shí)例，利用灰色馬爾柯夫鏈模型對其經(jīng)濟(jì)損失的預(yù)測作了嘗試性的探討。 - It's difficult to find markov chain model in a sentence. 用markov chain model造句挺難的
- Main works of the paper : ( 1 ) in terms of the application of markov chain , markov chain model used for anomaly detection is deeply discussed . the experiments indicate that the model can detect anomaly system behavior under the condition of poor system security know ledge
論文主要作了以下工作：數(shù)據(jù)挖掘l ’ l入浸十氣則中的i征用研究( l )在應(yīng)用marko ’ ’鏈方面，深入研究了markov模型在安全領(lǐng)域知識缺乏情況下的異常行為的檢測。 - In the monitoring , the observed behaviour of process is analyzed to infer the probability that markov chain model of normal profile supports the observed behaviour . a low probability of support indicates a anomalous process behavior that may result from intrusive activities
監(jiān)視過程中，根據(jù)馬爾可夫模型對所觀察到的進(jìn)程行為的分析和概率推斷來判定其行為是否偏離正常的行為輪廓，較低的概率意味者該行為是由入侵活動所引起的異常行為。 - Based on the mechanism of computer immune system , this paper presents a new anomaly detection technique to detect intrusion into computer system . in this technique , a markov chain model is used to represent a temporal profile of normal behavior of a process . the markov chain model of normal profile can be created by learning the historic data of the sequence of system calls produced by privileged processes running on unix system
傳統(tǒng)的入侵檢測技術(shù)，依照所基于的原則不同，通常分為誤用入侵檢測與異常入侵檢測，本文在入侵研究中所采用的計算機(jī)系統(tǒng)免疫思想的基礎(chǔ)上，提出了一種新的異常入侵檢測技術(shù)，通過對( unix系統(tǒng))特權(quán)進(jìn)程系統(tǒng)調(diào)用序列的歷史數(shù)據(jù)的學(xué)習(xí)，用馬爾可夫鏈模型來建立特權(quán)進(jìn)程的正常時態(tài)行為輪廓。 - For the difficulty of getting transition probability matrixes in various directions in markov chain models , the paper presents a method to figure out it , which makes getting transition probability matrixes of different neighborhood systems of markov chain models easier and more feasible
摘要針對在油氣儲層隨機(jī)模擬中馬爾可夫鏈模型的不同方向的轉(zhuǎn)移概率矩陣求取困難的問題，提出一種二維剖面中不同方向的轉(zhuǎn)移概率矩陣求取方法，這種方法的提出使得不同階次的各向同性和各向異性的鄰域系統(tǒng)的轉(zhuǎn)移概率矩陣的求取變得容易可行。 - In construction phrase , it uses coincideence definition of quality and sums up four characters of quality cost , and integrates the control principle of quality cost , and integrates the grey system and markov chain model into the grey - markov chain model of quality cost control . it uses grey predict value to reflect the cq interior tendency . this paper designs the practical program and verifies it in the building of 543 factory of baoding
在施工階段，采用質(zhì)量的符合性定義，總結(jié)出質(zhì)量成本的四大特點(diǎn)，在將控制對象劃分為內(nèi)部子系統(tǒng)和外部子系統(tǒng)的基礎(chǔ)上，提出了質(zhì)量成本系統(tǒng)控制原理，并將灰色系統(tǒng)和馬爾柯夫模型結(jié)合起來，建立了質(zhì)量成本的灰色馬爾柯夫模型，以灰色預(yù)測值反映質(zhì)量成本的內(nèi)在趨勢，作為質(zhì)量成本控制的參照標(biāo)準(zhǔn)，并在保定五四三廠印鈔生產(chǎn)樓工程中進(jìn)行了驗證。 - The conclusions were drawn by comparing the performance metrics of our model with the first - order and second - order markov chain models : at detection performance ( hit rate and false alarm rate ) , our model is better than other two models ; at memory demand , our model is more than the first model , but less than the second - order model ; at speed , the training speed of our model is slower than other two models , but the detection speed is quicker . these results clearly demonstrate the effectiveness of our model . 2
通過與基于系統(tǒng)調(diào)用的一階和二階馬爾可夫鏈異常檢測模型的比較研究得出結(jié)論：基于系統(tǒng)調(diào)用宏的馬爾可夫鏈模型在檢測性能要高于一階和二階馬爾可夫鏈模型；而在存儲要求上稍高于一階馬爾可夫鏈模型，但低于二階馬爾可夫鏈模型；雖然在訓(xùn)練時間上是一階和二階馬爾可夫鏈模型若干倍，但實(shí)時檢測速度要高于它們兩者。 - For quantitative analysis of the combat platform fire application , the markov chain model of combat platform with reciprocal striking , hasty break through and shooting to dense target is studied by setting up markov chain which state and time are discrete according to the markov property in this process
摘要針對定量分析戰(zhàn)斗平臺火力運(yùn)用問題，根據(jù)該過程所具有的馬爾可夫性特點(diǎn)，將其描述為狀態(tài)離散、時間離散的馬爾可夫鏈，由此研究了一對一格斗、倉促突破戰(zhàn)斗、對密集目標(biāo)群射擊等情況下的馬爾可夫鏈模型。 - Considered the present condition of liaoning province , the evaluation and prediction method of liaoning province bridge technique condition is analyzed , then bridge condition changed - contingency evaluated method is introduced , negative index curve is chosen as the regression analysis model of the bridge condition prediction , and based on the information of bridge management system in the liaoning highway , the parameters of model are calibrated , the average repaired life of bridge is also calculated , the definite method of the bridge ' s repaired year is given , at the same time the markov chain model of bridge condition prediction is presented
結(jié)合遼寧省的橋梁工程及管理具體情況，研究了遼寧省橋梁技術(shù)狀況評價與預(yù)測方法，引入橋梁缺損狀況變權(quán)評定方法，選擇負(fù)指數(shù)曲線作為橋梁缺損狀況預(yù)測的回歸分析模型，并依據(jù)遼寧省干線公路橋梁管理系統(tǒng)中的橋梁狀況信息，標(biāo)定了模型的參數(shù)，計算橋梁中修及大修(或改建)的平均年限，給出橋梁大中修年份的確定方法，同時也建立了橋梁缺損狀況預(yù)測的馬爾可夫鏈概率模型。 - The paper attempt to applied sequential cluster method to set up the classification standard , then it regards the correlation coefficients of record values as weights and predicts the future loads by using markov chain model with weights . this method make the best of the information comprised in load series and solved the problem of obtaining weather information . not only the concrete value of the monthly sales electric energy but its range in the future is gained
實(shí)際上,各月份的氣象、經(jīng)濟(jì)因素之間具有一定的相關(guān)性,這些相關(guān)信息已經(jīng)包含在負(fù)荷序列中,本文嘗試將馬爾可夫鏈理論應(yīng)用于負(fù)荷預(yù)測之中,應(yīng)用聚類分析的方法確定分級標(biāo)準(zhǔn),將負(fù)荷分為不同的狀態(tài),根據(jù)狀態(tài)之間的轉(zhuǎn)移概率來推測未來負(fù)荷的發(fā)展變化,并將觀測值之間的相關(guān)系數(shù)作為權(quán)值進(jìn)行綜合預(yù)測,更加合理地利用了負(fù)荷序列中包含的信息,不僅可以預(yù)測出未來負(fù)荷的具體值,而且得到了其所屬的區(qū)間,具有一定的實(shí)用價值。